How to integrate Google Sheets MCP with Google ADK

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Introduction

This guide walks you through connecting Google Sheets to Google ADK 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 Google ADK 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 a Google Sheets account set up and connected to Composio
  • Install the Google ADK and Composio packages
  • Create a Composio Tool Router session for Google Sheets
  • Build an agent that connects to Google Sheets through MCP
  • Interact with Google Sheets using natural language

What is Google ADK?

Google ADK (Agents Development Kit) is Google's framework for building AI agents powered by Gemini models. It provides tools for creating agents that can use external services through the Model Context Protocol.

Key features include:

  • Gemini Integration: Native support for Google's Gemini models
  • MCP Toolset: Built-in support for Model Context Protocol tools
  • Streamable HTTP: Connect to external services through streamable HTTP
  • CLI and Web UI: Run agents via command line or web interface

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

Before starting, make sure you have:
  • A Google API key for Gemini models
  • A Composio account and API key
  • Python 3.9 or later installed
  • Basic familiarity with Python

Getting API Keys for Google and Composio

Google API Key
  • Go to Google AI Studio and create an API key.
  • Copy the key and keep it safe. You will put this in GOOGLE_API_KEY.
Composio API Key and User ID
  • Log in to the Composio dashboard.
  • Go to Settings → API Keys and copy your Composio API key. Use this for COMPOSIO_API_KEY.
  • Decide on a stable user identifier to scope sessions, often your email or a user ID. Use this for COMPOSIO_USER_ID.

Install dependencies

bash
pip install google-adk composio-google python-dotenv

Inside your virtual environment, install the required packages.

What's happening:

  • google-adk is Google's Agents Development Kit
  • composio connects your agent to Google Sheets via MCP
  • composio-google provides the Google ADK provider
  • python-dotenv loads environment variables

Set up ADK project

bash
adk create my_agent

Set up a new Google ADK project.

What's happening:

  • This creates an agent folder with a root agent file and .env file

Set environment variables

bash
GOOGLE_API_KEY=your-google-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id-or-email

Save all your credentials in the .env file.

What's happening:

  • GOOGLE_API_KEY authenticates with Google's Gemini models
  • COMPOSIO_API_KEY authenticates with Composio
  • COMPOSIO_USER_ID identifies the user for session management

Import modules and validate environment

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

load_dotenv()

warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not GOOGLE_API_KEY:
    raise ValueError("GOOGLE_API_KEY is not set in the environment.")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment.")
What's happening:
  • os reads environment variables
  • Composio is the main Composio SDK client
  • GoogleProvider declares that you are using Google ADK as the agent runtime
  • Agent is the Google ADK LLM agent class
  • McpToolset lets the ADK agent call MCP tools over HTTP

Create Composio client and Tool Router session

python
print("Initializing Composio client...")
composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

print("Creating Composio session...")
composio_session = composio_client.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["googlesheets"],
)

COMPOSIO_MCP_URL = composio_session.mcp.url
print(f"Composio MCP HTTP URL: {COMPOSIO_MCP_URL}")
What's happening:
  • Authenticates to Composio with your API key
  • Declares Google ADK as the provider
  • Spins up a short-lived MCP endpoint for your user and selected toolkit
  • Stores the MCP HTTP URL for the ADK MCP integration

Set up the McpToolset and create the Agent

python
print("Creating Composio toolset for the agent...")
composio_toolset = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url=COMPOSIO_MCP_URL,
        headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
    )
)

root_agent = Agent(
    model="gemini-2.5-pro",
    name="composio_agent",
    description="An agent that uses Google Sheets tools to perform actions.",
    instruction=(
        "You are a helpful assistant connected to Composio. "
        "You have the following tools available: "
        "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
        "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
        "Use these tools to help users with Google Sheets operations."
    ),
    tools=[composio_toolset],
)

print("\nAgent setup complete. You can now run this agent directly ;)")
What's happening:
  • Connects the ADK agent to the Composio MCP endpoint through McpToolset
  • Uses Gemini as the model powering the agent
  • Lists exact tool names in instruction to reduce misnamed tool calls

Run the agent

bash
# Run in CLI mode
adk run my_agent

# Or run in web UI mode
adk web
Execute the agent from the project root. The web command opens a web portal where you can chat with the agent. What's happening:
  • adk run runs the agent in CLI mode
  • adk web opens a web UI for interactive testing

Complete Code

Here's the complete code to get you started with Google Sheets and Google ADK:

python
import os
import warnings

from composio import Composio
from composio_google import GoogleProvider
from dotenv import load_dotenv
from google.adk.agents.llm_agent import Agent
from google.adk.tools.mcp_tool.mcp_session_manager import StreamableHTTPConnectionParams
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset

def main():
    try:
        load_dotenv()

        warnings.filterwarnings("ignore", message=".*BaseAuthenticatedTool.*")

        GOOGLE_API_KEY = os.getenv("GOOGLE_API_KEY")
        COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
        COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

        if not GOOGLE_API_KEY:
            raise ValueError("GOOGLE_API_KEY is not set in the environment.")
        if not COMPOSIO_API_KEY:
            raise ValueError("COMPOSIO_API_KEY is not set in the environment.")
        if not COMPOSIO_USER_ID:
            raise ValueError("COMPOSIO_USER_ID is not set in the environment.")

        print("Initializing Composio client...")
        composio_client = Composio(api_key=COMPOSIO_API_KEY, provider=GoogleProvider())

        print("Creating Composio session...")
        composio_session = composio_client.create(
            user_id=COMPOSIO_USER_ID,
            toolkits=["googlesheets"],
        )

        COMPOSIO_MCP_URL = composio_session.mcp.url
        print(f"Composio MCP HTTP URL: {COMPOSIO_MCP_URL}")

        print("Creating Composio toolset for the agent...")
        composio_toolset = McpToolset(
            connection_params=StreamableHTTPConnectionParams(
                url=COMPOSIO_MCP_URL,
                headers={"x-api-key": os.getenv("COMPOSIO_API_KEY")}
            )
        )

        root_agent = Agent(
            model="gemini-2.5-pro",
            name="composio_agent",
            description="An agent that uses Google Sheets tools to perform actions.",
            instruction=(
                "You are a helpful assistant connected to Composio. "
                "You have the following tools available: "
                "COMPOSIO_SEARCH_TOOLS, COMPOSIO_MULTI_EXECUTE_TOOL, "
                "COMPOSIO_MANAGE_CONNECTIONS, COMPOSIO_REMOTE_BASH_TOOL, COMPOSIO_REMOTE_WORKBENCH. "
                "Use these tools to help users with Google Sheets operations."
            ),
            tools=[composio_toolset],
        )

        print("\nAgent setup complete. You can now run this agent directly ;)")

    except Exception as e:
        print(f"\nAn error occurred during agent setup: {e}")

if __name__ == "__main__":
    main()

Conclusion

You've successfully integrated Google Sheets with the Google ADK through Composio's MCP Tool Router. Your agent can now interact with Google Sheets using natural language commands.

Key takeaways:

  • The Tool Router approach dynamically routes requests to the appropriate Google Sheets tools
  • Environment variables keep your credentials secure and separate from code
  • Clear agent instructions reduce tool calling errors
  • The ADK web UI provides an interactive interface for testing and development

You can extend this setup by adding more toolkits to the toolkits array in your session configuration.

How to build Google Sheets MCP Agent with another framework

OpenAI Agents SDK

OpenAI Agents SDK

Use Google Sheets MCP with OpenAI Agents SDK

Claude Agent SDK

Claude Agent SDK

Use Google Sheets MCP with Claude Agent SDK

LangChain

LangChain

Use Google Sheets MCP with LangChain

Vercel AI SDK

Vercel AI SDK

Use Google Sheets MCP with Vercel AI SDK

Mastra AI

Mastra AI

Use Google Sheets MCP with Mastra AI

LlamaIndex

LlamaIndex

Use Google Sheets MCP with LlamaIndex

CrewAI

CrewAI

Use Google Sheets MCP with CrewAI

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 Google ADK?

Yes, you can. Google ADK 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.

Used by agents from

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Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai
Context
ASU
Letta
glean
HubSpot
Agent.ai
Altera
DataStax
Entelligence
Rolai

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