How to integrate Google Sheets MCP with LangChain

This guide walks you through connecting Google Sheets to LangChain 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 LangChain 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 LangChain 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 LangChain 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 ADKVercel AI SDKMastra AILlamaIndexCrewAI

TL;DR

Here's what you'll learn:
  • Get and set up your OpenAI and Composio API keys
  • Connect your Google Sheets project to Composio
  • Create a Tool Router MCP session for Google Sheets
  • Initialize an MCP client and retrieve Google Sheets tools
  • Build a LangChain agent that can interact with Google Sheets
  • Set up an interactive chat interface for testing

What is LangChain?

LangChain is a framework for developing applications powered by language models. It provides tools and abstractions for building agents that can reason, use tools, and maintain conversation context.

Key features include:

  • Agent Framework: Build agents that can use tools and make decisions
  • MCP Integration: Connect to external services through Model Context Protocol adapters
  • Memory Management: Maintain conversation history across interactions
  • Multi-Provider Support: Works with OpenAI, Anthropic, and other LLM providers

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 step10 STEPS
1

Prerequisites

Before starting this tutorial, make sure you have:
  • Python 3.10 or higher installed on your system
  • A Composio account with an API key
  • An OpenAI API key
  • Basic familiarity with Python and async programming
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

npm install @composio/langchain @langchain/core @langchain/openai @langchain/mcp-adapters dotenv

Install the required packages for LangChain with MCP support.

What's happening:

  • @composio/langchain provides Composio integration for LangChain
  • @langchain/mcp-adapters enables MCP client connections
  • @langchain/core is the core agent framework
  • dotenv/config loads environment variables
4

Set up environment variables

bash
COMPOSIO_API_KEY=your_composio_api_key_here
COMPOSIO_USER_ID=your_composio_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 your requests to Composio's API
  • COMPOSIO_USER_ID identifies the user for session management
  • OPENAI_API_KEY enables access to OpenAI's language models
5

Import dependencies

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

dotenv.config();
What's happening:
  • We're importing LangChain's MCP adapter and Composio SDK
  • The dotenv/config import loads environment variables from your .env file
  • This setup prepares the foundation for connecting LangChain with Google Sheets functionality through MCP
6

Initialize Composio client

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });
What's happening:
  • We're loading the COMPOSIO_API_KEY from environment variables and validating it exists
  • Creating a Composio instance that will manage our connection to Google Sheets tools
  • Validating that COMPOSIO_USER_ID is also set before proceeding
7

Create a Tool Router session

const session = await composio.create(
    userId as string,
    {
        toolkits: ['googlesheets']
    }
);

const url = session.mcp.url;
What's happening:
  • We're creating a Tool Router session that gives your agent access to Google Sheets tools
  • The create method takes the user ID and specifies which toolkits should be available
  • The returned session.mcp.url is the MCP server URL that your agent will use
  • This approach allows the agent to dynamically load and use Google Sheets tools as needed
8

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "googlesheets-agent": {
        transport: "http",
        url: url,
        headers: {
            "x-api-key": process.env.COMPOSIO_API_KEY
        }
    }
});

const tools = await client.getTools();

const agent = createAgent({ model: "gpt-5", tools });
What's happening:
  • We're creating a MultiServerMCPClient that connects to our Google Sheets MCP server via HTTP
  • The client is configured with a name and the URL from our Tool Router session
  • getTools() retrieves all available Google Sheets tools that the agent can use
  • We're creating a LangChain agent using the GPT-5 model
9

Set up interactive chat interface

let conversationHistory: any[] = [];

console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
console.log("Ask any Google Sheets related question or task to the agent.\n");

const rl = readline.createInterface({
    input: process.stdin,
    output: process.stdout,
    prompt: 'You: '
});

rl.prompt();

rl.on('line', async (userInput: string) => {
    const trimmedInput = userInput.trim();

    if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
        console.log("\nGoodbye!");
        rl.close();
        process.exit(0);
    }

    if (!trimmedInput) {
        rl.prompt();
        return;
    }

    conversationHistory.push({ role: "user", content: trimmedInput });
    console.log("\nAgent is thinking...\n");

    const response = await agent.invoke({ messages: conversationHistory });
    conversationHistory = response.messages;

    const finalResponse = response.messages[response.messages.length - 1]?.content;
    console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\n👋 Session ended.');
        process.exit(0);
    });
What's happening:
  • We initialize an empty conversationHistory list to maintain context across interactions
  • A readline interface is used to continuously accept user input from the command line
  • When a user types a message, it's added to the conversation history and sent to the agent
  • The agent processes the request using the invoke() method with the full conversation history
  • Users can type 'exit', 'quit', or 'bye' to end the chat session gracefully
10

Run the application

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});
What's happening:
  • We call the main() function to start the application

Complete Code

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

import { Composio } from '@composio/core';
import { LangchainProvider } from '@composio/langchain';
import { MultiServerMCPClient } from "@langchain/mcp-adapters";  
import { createAgent } from "langchain";
import * as readline from 'readline';
import 'dotenv/config';

const composioApiKey = process.env.COMPOSIO_API_KEY;
const userId = process.env.COMPOSIO_USER_ID;

if (!composioApiKey) throw new Error('COMPOSIO_API_KEY is not set');
if (!userId) throw new Error('COMPOSIO_USER_ID is not set');

async function main() {
    const composio = new Composio({
        apiKey: composioApiKey as string,
        provider: new LangchainProvider()
    });

    const session = await composio.create(
        userId as string,
        {
            toolkits: ['googlesheets']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "googlesheets-agent": {
            transport: "http",
            url: url,
            headers: {
                "x-api-key": process.env.COMPOSIO_API_KEY
            }
        }
    });
    
    const tools = await client.getTools();
  
    const agent = createAgent({ model: "gpt-5", tools });
    
    let conversationHistory: any[] = [];
    
    console.log("Chat started! Type 'exit' or 'quit' to end the conversation.\n");
    console.log("Ask any Google Sheets related question or task to the agent.\n");
    
    const rl = readline.createInterface({
        input: process.stdin,
        output: process.stdout,
        prompt: 'You: '
    });

    rl.prompt();

    rl.on('line', async (userInput: string) => {
        const trimmedInput = userInput.trim();
        
        if (['exit', 'quit', 'bye'].includes(trimmedInput.toLowerCase())) {
            console.log("\nGoodbye!");
            rl.close();
            process.exit(0);
        }
        
        if (!trimmedInput) {
            rl.prompt();
            return;
        }
        
        conversationHistory.push({ role: "user", content: trimmedInput });
        console.log("\nAgent is thinking...\n");
        
        const response = await agent.invoke({ messages: conversationHistory });
        conversationHistory = response.messages;
        
        const finalResponse = response.messages[response.messages.length - 1]?.content;
        console.log(`Agent: ${finalResponse}\n`);
        
        rl.prompt();
    });

    rl.on('close', () => {
        console.log('\nSession ended.');
        process.exit(0);
    });
}

main().catch((err) => {
    console.error('Fatal error:', err);
    process.exit(1);
});

Conclusion

You've successfully built a LangChain agent that can interact with Google Sheets through Composio's Tool Router.

Key features of this implementation:

  • Dynamic tool loading through Composio's Tool Router
  • Conversation history maintenance for context-aware responses
  • Async Python provides clean, efficient execution of agent workflows
You can extend this further by adding error handling, implementing specific business logic, or integrating additional Composio toolkits to create multi-app workflows.
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

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

CrewAI logo

CrewAI

Use Google Sheets MCP with CrewAI

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. LangChain 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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