How to integrate Google Maps MCP with LangChain

This guide walks you through connecting Google Maps to LangChain using the Composio tool router. By the end, you'll have a working Google Maps agent that can find walking directions from your hotel to conference center, show top-rated coffee shops near your location, embed a map of downtown restaurants on your website through natural language commands. This guide will help you understand how to give your LangChain agent real control over a Google Maps account through Composio's Google Maps MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Google Maps

Oauth2Api Key

Google Maps is a leading mapping and geolocation service for finding locations, routes, and businesses worldwide. It helps users access real-time navigation, geocoding, and mapping data for seamless location-based experiences.

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Introduction

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

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

Also integrate Google Maps with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK 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
Connect your Google Maps project to Composio
Create a Tool Router MCP session for Google Maps
Initialize an MCP client and retrieve Google Maps tools
Build a LangChain agent that can interact with Google Maps
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 Maps MCP server, and what's possible with it?

The Google maps 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 Maps account. It provides structured and secure access to advanced location, routing, and place data, so your agent can perform actions like finding places, calculating routes, searching nearby locations, and generating map embeds on your behalf.

Instant directions and route planning: Let your agent fetch detailed step-by-step directions or calculate optimal routes between addresses, including support for waypoints and various travel modes.
Proximity-based place search: Effortlessly search for restaurants, parks, or other place types within a specific area, filtered by your preferences and needs.
Distance and travel time calculations: Have your agent determine travel distance and estimated time between multiple origins and destinations, factoring in real-world conditions and transport modes.
Text-based place discovery: Ask your agent to locate places using natural language queries like “coffee shops near Central Park” or “best hotels in Tokyo.”
Interactive map embedding: Generate embeddable map URLs and HTML code to display custom maps, directions, or street views directly in your apps or websites—no manual coding required.

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

Step by step10 STEPS

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

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

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

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

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 Maps functionality through MCP

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 Maps tools
Validating that COMPOSIO_USER_ID is also set before proceeding

Create a Tool Router session

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

const url = session.mcp.url;

What's happening:

We're creating a Tool Router session that gives your agent access to Google Maps 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 Maps tools as needed

Configure the agent with the MCP URL

const client = new MultiServerMCPClient({
    "google_maps-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 Maps MCP server via HTTP
The client is configured with a name and the URL from our Tool Router session
getTools() retrieves all available Google Maps tools that the agent can use
We're creating a LangChain agent using the GPT-5 model

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 Maps 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

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 Maps 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: ['google_maps']
        }
    );

    const url = session.mcp.url;
    
    const client = new MultiServerMCPClient({
        "google_maps-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 Maps 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 Maps 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

Supported Tools

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

Autocomplete Place Predictions

Returns place and query predictions for text input.

Compute Route Matrix

Calculates travel distance and duration matrix between multiple origins and destinations using the modern Routes API; supports OAuth2 authentication and various travel modes.

Geocode Address With Query

Tool to map addresses to geographic coordinates with query parameter.

Geocode Destinations

Tool to perform destination lookup and return detailed destination information including primary place, containing places, sub-destinations, landmarks, entrances, and navigation points.

Reverse Geocode Location

Tool to convert geographic coordinates (latitude and longitude) to human-readable addresses using reverse geocoding.

Geocode Place by ID

Tool to perform geocode lookup using a place identifier to retrieve address and coordinates.

Geocoding API

Convert addresses into geographic coordinates (latitude and longitude) and vice versa (reverse geocoding), or get an address for a Place ID.

Geolocate Device

Tool to determine location based on cell towers and WiFi access points.

Get 2D Map Tile

Tool to retrieve a 2D map tile image at specified coordinates for building custom map visualizations.

Get 3D Tiles Root

Tool to retrieve the 3D Tiles tileset root configuration for photorealistic 3D map rendering.

Get Place Details

Retrieves comprehensive details for a place using its resource name (places/{place_id} format).

Get Route

Calculates one or more routes between two specified locations.

Lookup Aerial Video

Tool to look up an aerial view video by address or video ID.

Embed Google Map

Tool to generate an embeddable Google Map URL and HTML iframe code.

Nearby search

Searches for places (e.

Get Place Photo

Retrieves high quality photographic content from the Google Maps Places database.

Render Aerial Video

Starts rendering an aerial view video for a US postal address.

Text Search

Searches for places on Google Maps using a textual query (e.

Create Tiles Session

Tool to create a session token required for accessing 2D Tiles and Street View imagery.

FRAMEWORKS

How to build Google Maps MCP Agent with another framework

ChatGPT

Use Google Maps MCP with ChatGPT

OpenAI Agents SDK

Use Google Maps MCP with OpenAI Agents SDK

Claude Agent SDK

Use Google Maps MCP with Claude Agent SDK

Claude Code

Use Google Maps MCP with Claude Code

Claude Cowork

Use Google Maps MCP with Claude Cowork

Codex

Use Google Maps MCP with Codex

Cursor

Use Google Maps MCP with Cursor

OpenClaw

Use Google Maps MCP with OpenClaw

Hermes

Use Google Maps MCP with Hermes

CLI

Use Google Maps MCP with CLI

Google ADK

Use Google Maps MCP with Google ADK

Vercel AI SDK

Use Google Maps MCP with Vercel AI SDK

Mastra AI

Use Google Maps MCP with Mastra AI

LlamaIndex

Use Google Maps MCP with LlamaIndex

CrewAI

Use Google Maps MCP with CrewAI

OpenCode

Use Google Maps MCP with OpenCode

VS Code

Use Google Maps MCP with VS Code

MORE TOOLKITS

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Addressfinder

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Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.

FAQ

Frequently asked questions

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

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

Start with Google Maps.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Google Maps tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

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

Harsha Gaddipati

Co-founder, Slashy

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's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

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

Nirman Dave

CEO, Zams

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

Ryan Yu

Founder, Extra Thursday

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

Tomisin Jenrola

Founder & CEO, SwarmZero

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.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Google Maps MCP with LangChain

Connect Google Maps without auth hassles

Introduction

Also integrate Google Maps with

TL;DR

What is LangChain?

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

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

Initialize Composio client

Create a Tool Router session

Configure the agent with the MCP URL

Set up interactive chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Google Maps MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Excel

21risk

Abstract

Addressfinder

Frequently asked questions

What are the differences in Tool Router MCP and Google Maps MCP?+

Can I use Tool Router MCP with LangChain?+

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

How safe is my data with Composio Tool Router?+

Start with Google Maps.It takes 30 seconds.

Teams ship real agents on Composio