How to integrate Google Sheets MCP with CrewAI

This guide walks you through connecting Google Sheets to CrewAI 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 through natural language commands. This guide will help you understand how to give your CrewAI 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.

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Google Sheets is a cloud-based spreadsheet tool for real-time collaboration and data analysis. It lets teams work together from anywhere, updating information instantly.

42 Tools16 Triggers

Introduction

This guide walks you through connecting Google Sheets to CrewAI 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 through natural language commands.

This guide will help you understand how to give your CrewAI 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.

Also integrate Google Sheets with

ChatGPTOpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenCodeCursorVS CodeOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

Here's what you'll learn:
  • Get a Composio API key and configure your Google Sheets connection
  • Set up CrewAI with an MCP enabled agent
  • Create a Tool Router session or standalone MCP server for Google Sheets
  • Build a conversational loop where your agent can execute Google Sheets operations

What is CrewAI?

CrewAI is a powerful framework for building multi-agent AI systems. It provides primitives for defining agents with specific roles, creating tasks, and orchestrating workflows through crews.

Key features include:

  • Agent Roles: Define specialized agents with specific goals and backstories
  • Task Management: Create tasks with clear descriptions and expected outputs
  • Crew Orchestration: Combine agents and tasks into collaborative workflows
  • MCP Integration: Connect to external tools through Model Context Protocol

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.

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

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account and API key
  • A Google Sheets connection authorized in Composio
  • An OpenAI API key for the CrewAI LLM
  • Basic familiarity with Python
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 crewai crewai-tools[mcp] python-dotenv
What's happening:
  • composio connects your agent to Google Sheets via MCP
  • crewai provides Agent, Task, Crew, and LLM primitives
  • crewai-tools[mcp] includes MCP helpers
  • python-dotenv loads environment variables from .env
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key_here

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates with Composio
  • USER_ID scopes the session to your account
  • OPENAI_API_KEY lets CrewAI use your chosen OpenAI model
5

Import dependencies

python
import os
from composio import Composio
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
import dotenv

dotenv.load_dotenv()

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

if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")
What's happening:
  • CrewAI classes define agents and tasks, and run the workflow
  • MCPServerHTTP connects the agent to an MCP endpoint
  • Composio will give you a short lived Google Sheets MCP URL
6

Create a Composio Tool Router session for Google Sheets

python
composio_client = Composio(api_key=COMPOSIO_API_KEY)
session = composio_client.create(user_id=COMPOSIO_USER_ID, toolkits=["googlesheets"])

url = session.mcp.url
What's happening:
  • You create a Google Sheets only session through Composio
  • Composio returns an MCP HTTP URL that exposes Google Sheets tools
7

Initialize the MCP Server

python
server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users search the internet effectively",
        backstory="You are a helpful assistant with access to search tools.",
        tools=tools,
        verbose=False,
        max_iter=10,
    )
What's Happening:
  • Server Configuration: The code sets up connection parameters including the MCP server URL, streamable HTTP transport, and Composio API key authentication.
  • MCP Adapter Bridge: MCPServerAdapter acts as a context manager that converts Composio MCP tools into a CrewAI-compatible format.
  • Agent Setup: Creates a CrewAI Agent with a defined role (Search Assistant), goal (help with internet searches), and access to the MCP tools.
  • Configuration Options: The agent includes settings like verbose=False for clean output and max_iter=10 to prevent infinite loops.
  • Dynamic Tool Usage: Once created, the agent automatically accesses all Composio Search tools and decides when to use them based on user queries.
8

Create a CLI Chatloop and define the Crew

python
print("Chat started! Type 'exit' or 'quit' to end.\n")

conversation_context = ""

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

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

    if not user_input:
        continue

    conversation_context += f"\nUser: {user_input}\n"
    print("\nAgent is thinking...\n")

    task = Task(
        description=(
            f"Conversation history:\n{conversation_context}\n\n"
            f"Current request: {user_input}"
        ),
        expected_output="A helpful response addressing the user's request",
        agent=agent,
    )

    crew = Crew(agents=[agent], tasks=[task], verbose=False)
    result = crew.kickoff()
    response = str(result)

    conversation_context += f"Agent: {response}\n"
    print(f"Agent: {response}\n")
What's Happening:
  • Interactive CLI Setup: The code creates an infinite loop that continuously prompts for user input and maintains the entire conversation history in a string variable.
  • Input Validation: Empty inputs are ignored to prevent processing blank messages and keep the conversation clean.
  • Context Building: Each user message is appended to the conversation context, which preserves the full dialogue history for better agent responses.
  • Dynamic Task Creation: For every user input, a new Task is created that includes both the full conversation history and the current request as context.
  • Crew Execution: A Crew is instantiated with the agent and task, then kicked off to process the request and generate a response.
  • Response Management: The agent's response is converted to a string, added to the conversation context, and displayed to the user, maintaining conversational continuity.

Complete Code

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

python
from crewai import Agent, Task, Crew, LLM
from crewai_tools import MCPServerAdapter
from composio import Composio
from dotenv import load_dotenv
import os

load_dotenv()

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.")

# Initialize Composio and create a session
composio = Composio(api_key=COMPOSIO_API_KEY)
session = composio.create(
    user_id=COMPOSIO_USER_ID,
    toolkits=["googlesheets"],
)
url = session.mcp.url

# Configure LLM
llm = LLM(
    model="gpt-5",
    api_key=os.getenv("OPENAI_API_KEY"),
)

server_params = {
    "url": url,
    "transport": "streamable-http",
    "headers": {"x-api-key": COMPOSIO_API_KEY},
}

with MCPServerAdapter(server_params) as tools:
    agent = Agent(
        role="Search Assistant",
        goal="Help users with internet searches",
        backstory="You are an expert assistant with access to Composio Search tools.",
        tools=tools,
        llm=llm,
        verbose=False,
        max_iter=10,
    )

    print("Chat started! Type 'exit' or 'quit' to end.\n")

    conversation_context = ""

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

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

        if not user_input:
            continue

        conversation_context += f"\nUser: {user_input}\n"
        print("\nAgent is thinking...\n")

        task = Task(
            description=(
                f"Conversation history:\n{conversation_context}\n\n"
                f"Current request: {user_input}"
            ),
            expected_output="A helpful response addressing the user's request",
            agent=agent,
        )

        crew = Crew(agents=[agent], tasks=[task], verbose=False)
        result = crew.kickoff()
        response = str(result)

        conversation_context += f"Agent: {response}\n"
        print(f"Agent: {response}\n")

Conclusion

You now have a CrewAI agent connected to Google Sheets through Composio's Tool Router. The agent can perform Google Sheets operations through natural language commands.

Next steps:

  • Add role-specific instructions to customize agent behavior
  • Plug in more toolkits for multi-app workflows
  • Chain tasks for complex multi-step operations
TOOLS & TRIGGERS

Supported Tools and Triggers

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

Add Sheet to Existing Spreadsheet

Adds a new sheet to a spreadsheet.

Aggregate Column Data

Searches for rows where a specific column matches a value and performs mathematical operations on data from another column.

Append Dimension

Tool to append new rows or columns to a sheet, increasing its size.

Auto-Resize Rows or Columns

Auto-fit column widths or row heights for a dimension range using batchUpdate.

Batch Clear Values By Data Filter

Clears one or more ranges of values from a spreadsheet using data filters.

Batch get spreadsheet

Retrieves data from specified cell ranges in a Google Spreadsheet.

Batch Update Values by Data Filter

Tool to update values in ranges matching data filters.

Clear Basic Filter

Tool to clear the basic filter from a sheet.

Clear spreadsheet values

Clears 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 Sheets

Create a chart in a Google Sheets spreadsheet using the specified data range and chart type.

Create a Google Sheet

Creates a new Google Spreadsheet in Google Drive.

Create spreadsheet column

Creates a new column in a Google Spreadsheet.

Create spreadsheet row

Inserts a new, empty row into a specified sheet of a Google Spreadsheet at a given index, optionally inheriting formatting from the row above.

Delete Chart from Google Sheets

Delete an existing chart from a Google Sheets spreadsheet.

Delete Dimension (Rows/Columns)

Tool to delete specified rows or columns from a sheet in a Google Spreadsheet.

Delete Sheet

Tool to delete a sheet (worksheet) from a spreadsheet.

Find and Replace in Spreadsheet

Tool to find and replace text in a Google Spreadsheet.

Format cell

Applies text and background cell formatting to a specified range in a Google Sheets worksheet.

Get conditional format rules

List conditional formatting rules for each sheet (or a selected sheet) in a normalized, easy-to-edit form.

Get Data Validation Rules

Tool to extract data validation rules from a Google Sheets spreadsheet.

Get sheet names

Lists all worksheet names from a specified Google Spreadsheet (which must exist), useful for discovering sheets before further operations.

Get Spreadsheet by Data Filter

Returns the spreadsheet at the given ID, filtered by the specified data filters.

Get spreadsheet info

Retrieves metadata for a Google Spreadsheet using its ID.

Insert Dimension in Google Sheet

Tool to insert new rows or columns into a sheet at a specified location.

Look up spreadsheet row

Finds 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.

Mutate conditional format rules

Add, update, delete, or reorder conditional format rules on a Google Sheet.

Search Developer Metadata

Tool to search for developer metadata in a spreadsheet.

Search Spreadsheets

Search for Google Spreadsheets using various filters including name, content, date ranges, and more.

Set Basic Filter

Tool to set a basic filter on a sheet in a Google Spreadsheet.

Set Data Validation Rule

Tool to set or clear data validation rules (including dropdowns) on a range in Google Sheets.

Copy Sheet to Another Spreadsheet

Tool to copy a single sheet from a spreadsheet to another spreadsheet.

Append Values to Spreadsheet

Tool to append values to a spreadsheet.

Batch Clear Spreadsheet Values

Tool to clear one or more ranges of values from a spreadsheet.

Batch Get Spreadsheet Values by Data Filter

Tool to return one or more ranges of values from a spreadsheet that match the specified data filters.

Update Chart in Google Sheets

Update the specification of an existing chart in a Google Sheets spreadsheet.

Update Dimension Properties (Hide/Unhide & Resize)

Tool to hide/unhide rows or columns and set row heights or column widths.

Update Sheet Properties

Tool to update properties of a sheet (worksheet) within a Google Spreadsheet, such as its title, index, visibility, tab color, or grid properties.

Update Spreadsheet Properties

Tool to update SPREADSHEET-LEVEL properties such as the spreadsheet's title, locale, time zone, or auto-recalculation settings.

Batch update spreadsheet values

Tool to set values in one or more ranges of a spreadsheet.

Upsert Rows (Smart Update/Insert)

Upsert rows - update existing rows by key, append new ones.

Get spreadsheet values

Returns a range of values from a spreadsheet.

Update spreadsheet values

Tool to set values in a range of a Google Spreadsheet.

FRAMEWORKS

How to build Google Sheets MCP Agent with another framework

ChatGPT logo

ChatGPT

Use Google Sheets MCP with ChatGPT

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Google Sheets MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Google Sheets MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Google Sheets MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Google Sheets MCP with Claude Cowork

Codex logo

Codex

Use Google Sheets MCP with Codex

Cursor logo

Cursor

Use Google Sheets MCP with Cursor

OpenClaw logo

OpenClaw

Use Google Sheets MCP with OpenClaw

Hermes logo

Hermes

Use Google Sheets MCP with Hermes

CLI logo

CLI

Use Google Sheets MCP with CLI

Google ADK logo

Google ADK

Use Google Sheets MCP with Google ADK

LangChain logo

LangChain

Use Google Sheets MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Google Sheets MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Google Sheets MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Google Sheets MCP with LlamaIndex

OpenCode logo

OpenCode

Use Google Sheets MCP with OpenCode

VS Code logo

VS Code

Use Google Sheets MCP with VS Code

FAQ

Frequently asked questions

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.

Yes, you can. CrewAI 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.

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.

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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