How to integrate Google Sheets MCP with Autogen

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Introduction

This guide walks you through connecting Google Sheets to AutoGen using the Composio tool router. By the end, you'll have a working Google Sheets agent that can add a new sheet named 'q3 sales', update all rows where status is 'pending', create a pie chart of expenses by category, clear values in the 'drafts' worksheet through natural language commands.

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

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

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

The Google Sheets 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 Sheets account. It provides structured and secure access to your spreadsheets, so your agent can perform actions like creating new sheets, updating data, generating charts, and automating spreadsheet workflows on your behalf.

  • Spreadsheet creation and management: Instantly create new Google Sheets and add new worksheets (tabs) to existing spreadsheets whenever you need extra space or organization.
  • Bulk data reading and updating: Retrieve specific data ranges, aggregate column data, or update multiple rows and cells at once—perfect for reporting or syncing external data.
  • Automated chart generation: Direct your agent to build charts from selected data, making visualization and analysis faster and easier right inside your sheets.
  • Smart filtering and data cleanup: Have the agent clear filters, remove cell contents, or append rows and columns to keep your sheets tidy and up to date.
  • Dynamic data manipulation: Use advanced features like batch updates with data filters and aggregate operations to transform, filter, or summarize spreadsheet data efficiently.

Supported Tools & Triggers

Tools
Triggers
Add Sheet to SpreadsheetAdds a new sheet (worksheet) to a spreadsheet.
Aggregate Column DataSearches for rows where a specific column matches a value and performs mathematical operations on data from another column.
Append DimensionTool to append new rows or columns to a sheet, increasing its size.
Batch get spreadsheetRetrieves data from specified cell ranges in a google spreadsheet; ensure the spreadsheet has at least one worksheet and any explicitly referenced sheet names in ranges exist.
Batch update spreadsheetUpdates a specified range in a google sheet with given values, or appends them as new rows if `first cell location` is omitted; ensure the target sheet exists and the spreadsheet contains at least one worksheet.
Batch Update Values by Data FilterTool to update values in ranges matching data filters.
Clear Basic FilterTool to clear the basic filter from a sheet.
Clear spreadsheet valuesClears cell content (preserving formatting and notes) from a specified a1 notation range in a google spreadsheet; the range must correspond to an existing sheet and cells.
Create Chart in Google SheetsCreate a chart in a google sheets spreadsheet using the specified data range and chart type.
Create a Google SheetCreates a new google spreadsheet in google drive using the provided title.
Create spreadsheet columnCreates a new column in a google spreadsheet, requiring a valid `spreadsheet id` and an existing `sheet id`; an out-of-bounds `insert index` may append/prepend the column.
Create spreadsheet rowInserts a new, empty row into a specified sheet of a google spreadsheet at a given index, optionally inheriting formatting from the row above.
Delete Dimension (Rows/Columns)Tool to delete specified rows or columns from a sheet in a google spreadsheet.
Delete SheetTool to delete a sheet (worksheet) from a spreadsheet.
Execute SQL on SpreadsheetExecute sql queries against google sheets tables.
Find worksheet by titleFinds a worksheet by its exact, case-sensitive title within a google spreadsheet; returns a boolean indicating if found and the complete metadata of the entire spreadsheet, regardless of whether the target worksheet is found.
Format cellApplies text and background cell formatting to a specified range in a google sheets worksheet.
Get sheet namesLists all worksheet names from a specified google spreadsheet (which must exist), useful for discovering sheets before further operations.
Get Spreadsheet by Data FilterReturns the spreadsheet at the given id, filtered by the specified data filters.
Get spreadsheet infoRetrieves comprehensive metadata for a google spreadsheet using its id, excluding cell data.
Get Table SchemaThis action is used to get the schema of a table in a google spreadsheet, call this action to get the schema of a table in a spreadsheet before you query the table.
Insert Dimension in Google SheetTool to insert new rows or columns into a sheet at a specified location.
List Tables in SpreadsheetThis action is used to list all tables in a google spreadsheet, call this action to get the list of tables in a spreadsheet.
Look up spreadsheet rowFinds the first row in a google spreadsheet where a cell's entire content exactly matches the query string, searching within a specified a1 notation range or the first sheet by default.
Query Spreadsheet TableThis action is used to query a table in a google spreadsheet, call this action to query a table in a spreadsheet.
Search Developer MetadataTool to search for developer metadata in a spreadsheet.
Search SpreadsheetsSearch for google spreadsheets using various filters including name, content, date ranges, and more.
Set Basic FilterTool to set a basic filter on a sheet in a google spreadsheet.
Create sheet from JSONCreates a new google spreadsheet and populates its first worksheet from `sheet json`, which must be non-empty as its first item's keys establish the headers.
Copy Sheet to Another SpreadsheetTool to copy a single sheet from a spreadsheet to another spreadsheet.
Append Values to SpreadsheetTool to append values to a spreadsheet.
Batch Clear Spreadsheet ValuesTool to clear one or more ranges of values from a spreadsheet.
Batch Clear Values By Data FilterClears one or more ranges of values from a spreadsheet using data filters.
Batch Get Spreadsheet Values by Data FilterTool to return one or more ranges of values from a spreadsheet that match the specified data filters.
Update Sheet PropertiesTool to update properties of a sheet (worksheet) within a google spreadsheet, such as its title, index, visibility, tab color, or grid properties.
Update Spreadsheet PropertiesTool to update properties of a spreadsheet, such as its title, locale, or auto-recalculation settings.

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

What is Tool Router?

Composio's Tool Router 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 Tool Router

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

How the Tool Router works

The Tool Router 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

Prerequisites

You will need:

  • A Composio API key
  • An OpenAI API key (used by Autogen's OpenAIChatCompletionClient)
  • A Google Sheets 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 Google Sheets 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 Google Sheets 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 Google Sheets session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["googlesheets"]
    )
    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 Sheets 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 Google Sheets assistant agent with MCP tools
    agent = AssistantAgent(
        name="googlesheets_assistant",
        description="An AI assistant that helps with Google Sheets 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 Sheets 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 Google Sheets 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 Sheets 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 Sheets 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 Sheets session
    composio = Composio(api_key=os.getenv("COMPOSIO_API_KEY"))
    session = composio.create(
        user_id=os.getenv("USER_ID"),
        toolkits=["googlesheets"]
    )
    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 Sheets assistant agent with MCP tools
        agent = AssistantAgent(
            name="googlesheets_assistant",
            description="An AI assistant that helps with Google Sheets 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 Sheets 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 Sheets 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 Sheets, you can reuse the same structure for other MCP-enabled apps with minimal code changes.

How to build Google Sheets MCP Agent with another framework

FAQ

What are the differences in Tool Router MCP and Google Sheets MCP?

With a standalone Google Sheets MCP server, the agents and LLMs can only access a fixed set of Google Sheets tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Google Sheets 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 Google Sheets tools.

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

Yes, absolutely. You can configure which Google Sheets 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 Google Sheets data and credentials are handled as safely as possible.

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Letta
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HubSpot
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Altera
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Entelligence
Rolai

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