Gmail with AutoGen

How to integrate Gmail MCP with Autogen

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Introduction Also integrate Gmail with TL;DR What is AutoGen What is the Gmail MCP server Supported Tools & Triggers Creating MCP Server - Stand-alone vs Composio SDK Step-by-step Guide Complete Code Conclusion How to build Gmail MCP Agent with another framework Explore Other Toolkits FAQ

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Introduction

This guide walks you through connecting Gmail to AutoGen using the Composio tool router. By the end, you'll have a working Gmail agent that can read emails, search your inbox, draft messages, manage labels, and organize threads through natural language commands.

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

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

Also integrate Gmail with

ChatGPT Antigravity OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

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

The Gmail MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Gmail account. It provides structured and secure access to your email, so your agent can search, read, draft, organize, and even manage contacts in your mailbox—all on your behalf.

Advanced email search and retrieval: Effortlessly instruct your agent to fetch emails by sender, subject, label, date, or keywords, and even retrieve full message content or threads.
Automated drafting and sending: Have your agent create new email drafts, craft replies, add CC/BCC, include attachments, and handle threading to streamline communication.
Smart label and inbox organization: Let the agent create new labels, apply or remove labels from emails, and keep your inbox clutter-free by archiving or moving messages.
Contact and thread management: Fetch your Gmail contacts, pull entire conversation threads, or download specific attachments to make follow-ups a breeze.
Email and draft cleanup: Direct your agent to permanently delete emails or drafts, helping you maintain a tidy mailbox with minimal effort.

Supported Tools & Triggers

Tools

Triggers

Modify email labelsAdds and/or removes specified Gmail labels for a message; ensure `message_id` and all `label_ids` are valid (use 'listLabels' for custom label IDs).

Batch delete Gmail messagesTool to permanently delete multiple Gmail messages in bulk, bypassing Trash with no recovery possible.

Batch modify Gmail messagesModify labels on multiple Gmail messages in one efficient API call.

Create email draftCreates a Gmail email draft.

Create Gmail filterTool to create a new Gmail filter with specified criteria and actions.

Create labelCreates a new label with a unique name in the specified user's Gmail account.

Create Prompt PostSend a one-shot prompt to the Sanity Content Agent.

Delete DraftPermanently deletes a specific Gmail draft using its ID with no recovery possible; verify the correct `draft_id` and obtain explicit user confirmation before calling.

Delete Gmail filterTool to permanently delete a Gmail filter by its ID.

Delete label from account (permanent)Permanently DELETES a user-created Gmail label from the account (not from a message).

Delete messagePermanently deletes a specific email message by its ID from a Gmail mailbox; for `user_id`, use 'me' for the authenticated user or an email address to which the authenticated user has delegated access.

Delete threadTool to immediately and permanently delete a specified thread and all its messages.

Fetch emailsFetches a list of email messages from a Gmail account, supporting filtering, pagination, and optional full content retrieval.

Fetch message by message IDFetches a specific email message by its ID, provided the `message_id` exists and is accessible to the authenticated `user_id`.

Fetch Message by Thread IDRetrieves messages from a Gmail thread using its `thread_id`, where the thread must be accessible by the specified `user_id`.

Forward email messageForward an existing Gmail message to specified recipients, preserving original body and attachments.

Get Gmail attachmentRetrieves a specific attachment by ID from a message in a user's Gmail mailbox, requiring valid message and attachment IDs.

Get Auto-Forwarding SettingsTool to get the auto-forwarding setting for the specified account.

Get contactsFetches contacts (connections) for the authenticated Google account, allowing selection of specific data fields and pagination.

Get DraftRetrieves a single Gmail draft by its ID.

Get Gmail filterTool to retrieve a specific Gmail filter by its ID.

Get label detailsGets details for a specified Gmail label.

Get Language SettingsTool to retrieve the language settings for a Gmail user.

Get PeopleRetrieves either a specific person's details (using `resource_name`) or lists 'Other Contacts' (if `other_contacts` is true), with `person_fields` specifying the data to return.

Get ProfileRetrieves Gmail profile information (email address, aggregate messagesTotal/threadsTotal, historyId) for a user.

Get Vacation SettingsTool to retrieve vacation responder settings for a Gmail user.

Import messageTool to import a message into the user's mailbox with standard email delivery scanning and classification.

Insert message into mailboxTool to insert a message into the user's mailbox similar to IMAP APPEND.

List CSE identitiesTool to list client-side encrypted identities for an authenticated user.

List CSE key pairsTool to list client-side encryption key pairs for an authenticated user.

List DraftsRetrieves a paginated list of email drafts from a user's Gmail account.

List Gmail filtersTool to list all Gmail filters (rules) in the mailbox.

List forwarding addressesTool to list all forwarding addresses for the specified Gmail account.

List Gmail historyTool to list Gmail mailbox change history since a known startHistoryId.

List Gmail labelsRetrieves all system and user-created labels for a Gmail account in a single unpaginated response.

List send-as aliasesLists the send-as aliases for a Gmail account, including the primary address and custom 'from' aliases.

List S/MIME configsLists S/MIME configs for the specified send-as alias.

List threadsRetrieves a list of email threads from a Gmail account, identified by `user_id` (email address or 'me'), supporting filtering and pagination.

Modify thread labelsAdds or removes specified existing label IDs from a Gmail thread, affecting all its messages; ensure the thread ID is valid.

Trash threadMoves the specified thread to the trash.

Move to TrashMoves an existing, non-deleted email message to the trash for the specified user.

Patch LabelPatches the specified user-created label.

Patch send-as aliasTool to patch the specified send-as alias for a Gmail user.

Reply to email threadSends a reply within a specific Gmail thread using the original thread's subject; do not provide a custom subject as it will start a new conversation instead of replying in-thread.

Search PeopleSearches contacts by matching the query against names, nicknames, emails, phone numbers, and organizations, optionally including 'Other Contacts'.

Send DraftSends an existing draft email AS-IS to recipients already defined within the draft.

Send EmailSends an email via Gmail API using the authenticated user's Google profile display name.

Get IMAP SettingsRetrieves the IMAP settings for a Gmail user account, including whether IMAP is enabled, auto-expunge behavior, expunge behavior, and maximum folder size.

Get POP settingsTool to retrieve POP settings for a Gmail account.

Get send-as aliasTool to retrieve a specific send-as alias configuration for a Gmail user.

Stop watch notificationsTool to stop receiving push notifications for a Gmail mailbox.

Untrash MessageTool to remove a message from trash in Gmail.

Untrash threadTool to remove a thread from trash in Gmail.

Update draftUpdates (replaces) an existing Gmail draft's content in-place by draft ID.

Update IMAP settingsTool to update IMAP settings for a Gmail account.

Update LabelTool to update the properties of an existing Gmail label.

Update Language SettingsTool to update the language settings for a Gmail user.

Update POP settingsTool to update POP settings for a Gmail account.

Update send-as aliasTool to update a send-as alias for a Gmail user.

Update User Attributes ValuesUpdate user attribute values for a resource.

Update Vacation SettingsTool to update vacation responder settings for a Gmail user.

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:

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

Step-by-step Guide

Prerequisites

You will need:

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

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.

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 Gmail via MCP
autogen-agentchat provides the AssistantAgent class
autogen-ext-openai provides the OpenAI model client
autogen-ext-tools provides MCP workbench support

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 Gmail connections to use

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 Gmail session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["gmail"]
    )
    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 Gmail tools
session.mcp.url is the MCP endpoint that Autogen will connect to

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

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 Gmail assistant agent with MCP tools
    agent = AssistantAgent(
        name="gmail_assistant",
        description="An AI assistant that helps with Gmail 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 Gmail tools from the workbench

Run the interactive chat loop

python

print("Chat started! Type 'exit' or 'quit' to end the conversation.\n")
print("Ask any Gmail 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 Gmail 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 Gmail 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 Gmail session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["gmail"]
    )
    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 Gmail assistant agent with MCP tools
        agent = AssistantAgent(
            name="gmail_assistant",
            description="An AI assistant that helps with Gmail 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 Gmail 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 Gmail 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 Gmail, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Gmail MCP Agent with another framework

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Claude Cowork

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Codex

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Cursor

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OpenClaw

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Hermes

Use Gmail MCP with Hermes

CLI

Use Gmail MCP with CLI

Google ADK

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LangChain

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Vercel AI SDK

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Mastra AI

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CrewAI

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OpenCode

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VS Code

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TOOLKIT MARKETPLACE

FAQ

What are the differences in Tool Router MCP and Gmail MCP?

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

Can I use Tool Router MCP with Autogen?

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 Gmail tools.

Can I manage the permissions and scopes for Gmail while using Tool Router?

Yes, absolutely. You can configure which Gmail 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.

How safe is my data with Composio Tool Router?

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 Gmail data and credentials are handled as safely as possible.

Used by agents from

Never worry about agent reliability

We handle tool reliability, observability, and security so you never have to second-guess an agent action.

Get started for free Get a demo↗

Harsha GaddipatiCo-founder, Slashy

Karan skipped his own birthday party to fix our critical issue. It was 10 pm and he diverted his Waymo to help us instead. This really sets the bar, shows you the commitment you need to have when users rely on your software.

Abhi AryaCo-founder, Opennote

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 has immensely helped in keeping new users on the platform.

Nirman DaveCEO, Zams

We chose Composio over Pipedream because it delivered depth where it mattered. It supported niche tools and tricky edge cases that other platforms simply ignored. Giving us confidence to scale without compromising.

Ryan YuFounder, Extra Thursday

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down in the complexities of managing agent auth would have been a death sentence for Extra Thursday.

Tomisin JenrolaFounder & CEO, SwarmZero

Before partnering with Composio, adding tool integrations was a slow, resource-intensive process. Each integration could take weeks or months of engineering time, and maintaining them meant constantly keeping up with API changes.

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Harsha GaddipatiCo-founder, Slashy

Abhi AryaCo-founder, Opennote

Nirman DaveCEO, Zams

Ryan YuFounder, Extra Thursday

Tomisin JenrolaFounder & CEO, SwarmZero

Jerome LeclancheCo-Founder, Ingram Technologies

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

How to integrate Gmail MCP with Autogen

Table of Contents

Connect Gmail without Auth hassles

Introduction

Also integrate Gmail with

TL;DR

What is AutoGen?

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

Supported Tools & Triggers

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

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies and create Tool Router session

Configure MCP parameters for Autogen

Create the model client and agent

Run the interactive chat loop

Complete Code

Conclusion

How to build Gmail MCP Agent with another framework

ChatGPT

Antigravity

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Outlook

Slack

Gong

FAQ

What are the differences in Tool Router MCP and Gmail MCP?

Can I use Tool Router MCP with Autogen?

Can I manage the permissions and scopes for Gmail while using Tool Router?

How safe is my data with Composio Tool Router?

Used by agents from

Never worry about agent reliability