How to integrate Tomtom MCP with CrewAI

This guide walks you through connecting Tomtom to CrewAI using the Composio tool router. By the end, you'll have a working Tomtom agent that can find nearby ev charging stations with live status, calculate fastest driving route to airport, search for italian restaurants around times square through natural language commands. This guide will help you understand how to give your CrewAI agent real control over a Tomtom account through Composio's Tomtom MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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TomTom delivers location-based APIs for mapping, routing, and traffic services. Easily integrate navigation and geospatial intelligence into any application.

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Introduction

This guide walks you through connecting Tomtom to CrewAI using the Composio tool router. By the end, you'll have a working Tomtom agent that can find nearby ev charging stations with live status, calculate fastest driving route to airport, search for italian restaurants around times square through natural language commands.

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

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

Also integrate Tomtom with

OpenAI Agents SDKClaude Agent SDKClaude CodeClaude CoworkCodexOpenClawHermesCLIGoogle ADKLangChainVercel AI SDKMastra AILlamaIndex

TL;DR

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

The Tomtom MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Tomtom account. It provides structured and secure access to TomTom's advanced mapping, navigation, and location services, so your agent can perform actions like calculating routes, searching for points of interest, retrieving live traffic data, and managing map assets on your behalf.

  • Dynamic route calculation and navigation: Ask your agent to generate driving, walking, or cycling routes with waypoints and real-time traffic considerations to optimize travel plans.
  • Flexible location and place search: Let your agent perform fuzzy searches for addresses or points of interest, or find nearby locations by category such as restaurants, EV charging stations, or landmarks.
  • Real-time traffic flow and road insights: Retrieve up-to-date traffic flow data for specific road segments, helping you monitor congestion, speed trends, and plan detours proactively.
  • EV charging station availability: Check the current status and availability of EV charging stations, making it easy to plan electric vehicle journeys with confidence.
  • Map styling and asset management: Manage map fonts, styles, sprites, and copyrights to customize the look and feel of maps integrated into your applications.

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 Tomtom 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 Tomtom 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 Tomtom MCP URL
6

Create a Composio Tool Router session for Tomtom

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

url = session.mcp.url
What's happening:
  • You create a Tomtom only session through Composio
  • Composio returns an MCP HTTP URL that exposes Tomtom 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 Tomtom 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=["tomtom"],
)
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 Tomtom through Composio's Tool Router. The agent can perform Tomtom 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

Supported Tools

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

List Map Fonts

Tool to list available font asset versions for map rendering.

List Assets Sprites

Tool to list available sprites for a given asset version.

List map styles

Tool to list available map styles.

Calculate Long Distance EV Route

Tool to calculate long-distance electric vehicle routes with optimal charging stops.

Calculate Matrix Routing Sync

Tool to calculate route matrix synchronously for multiple origins and destinations (up to 200 cells).

Calculate Reachable Range

Tool to calculate the reachable range from a starting point given time, fuel, or energy constraints.

Calculate Route

Tool to calculate driving routes.

Calculate Route with Body

Tool to calculate routes with advanced options via POST request.

Category Search

Tool to search for Points of Interest by category.

Create Notifications Contact Group

Tool to create a contact group for TomTom notifications.

Create Routing Batch

Tool to submit asynchronous batch routing requests to TomTom API.

Create Routing Batch Sync

Tool to execute synchronous batch routing requests for multiple routes or reachable ranges.

Create Routing Matrix Async

Tool to submit asynchronous matrix routing calculation between multiple origins and destinations.

Create Waypoint Optimization

Tool to optimize the sequence of waypoints to find the fastest route.

Geometry Filter

Tool to filter POIs by geometric boundaries (circles or polygons).

Create Snap to Roads

Tool to snap GPS track points to the road network, correcting for GPS inaccuracies.

Create Snap to Roads Batch

Tool to submit asynchronous batch snap to roads requests to TomTom API.

Delete Notifications History

Tool to clear the entire notifications history for the account.

Download Batch Search Results

Tool to download results of an asynchronous batch search job.

Download Matrix Routing Async Result

Tool to download results of asynchronous matrix routing job.

Download Snap to Roads Async Result

Tool to download results of asynchronous snap to roads batch job.

EV Charging Stations Availability

Tool to retrieve EV charging station availability info.

Flow Segment Data

Tool to retrieve traffic flow data for a specific road segment.

Fuzzy Search

Tool to perform a fuzzy search for addresses and points of interest.

Geocode Query

Tool to convert a free-form address query into geographic coordinates.

Get Autocomplete Suggestions

Tool to get search suggestions as user types a query.

Get Map Tile Copyrights

Tool to retrieve copyright information for TomTom map tiles.

Get Geometry Search

Tool to search for POIs and locations within specified geometric areas (circles or polygons).

Get Hillshade Tile

Tool to retrieve hillshade terrain map tiles for specified coordinates and zoom.

Get Incident Viewport

Tool to retrieve incident viewport information including Traffic Model ID.

Get Map Copyrights Bounding Box

Tool to retrieve copyright information for a geographic bounding box.

Get Map Copyrights Caption

Tool to retrieve the copyright caption text for TomTom maps.

Get Map Copyrights (Global)

Tool to retrieve copyright information for the whole world in the Maps API Raster Tile Service.

Get Orbis Map Tile

Tool to retrieve Orbis map tiles at specified zoom level and coordinates.

Get Orbis Traffic Incident Tile

Tool to retrieve Orbis Traffic Incident Tiles containing traffic incident data in Protocol Buffer format.

Get Map Style Metadata

Tool to retrieve map style metadata.

Get map styles metadata

Tool to retrieve map style metadata as a Mapbox Style Specification JSON.

Get Contact Group

Tool to retrieve details of a specific contact group by its UUID.

Get Notifications History

Tool to retrieve notifications history from TomTom.

Get Notifications Settings

Tool to retrieve current notification settings.

Orbis Geocode

Tool to geocode addresses using TomTom's Orbis Maps API.

Orbis Places Autocomplete

Tool to get autocomplete suggestions for place searches using TomTom Orbis Maps.

Orbis Structured Geocode

Tool to convert structured address fields into geographic coordinates using TomTom Orbis Maps API.

Get Orbis Traffic Flow Tile

Tool to retrieve Orbis traffic flow tile data in Protocol Buffer format.

Get Orbis Traffic Incident Details

Tool to retrieve detailed Orbis traffic incidents by bounding box or IDs.

Get Routing Batch Results

Tool to download asynchronous batch routing results.

Get Matrix Routing Async Status

Tool to check the status of an asynchronous matrix routing job.

Get Satellite Tile

Tool to retrieve satellite imagery map tiles at specified coordinates and zoom.

Get Snap to Roads Batch Status

Tool to check the status of an asynchronous Snap to Roads batch job.

Get Traffic Flow Tiles Raster

Tool to retrieve raster traffic flow map tiles for visualization.

Get Traffic Incident Details

Tool to retrieve traffic incident details within a bounding box at a specified zoom level.

Get Traffic Incident Tile

Tool to retrieve raster traffic incident map tiles showing traffic incidents at specified coordinates and zoom.

Get Traffic Incident Viewport

Tool to retrieve traffic incidents within a viewport defined by bounding box and zoom level.

List Geofencing Alert Rules

Tool to list geofencing alert rules with optional filtering.

List Geofencing Alerts History

Tool to retrieve geofencing alert history within a specified time range.

List Geofencing Objects

Tool to list all tracked objects in the TomTom Geofencing system.

List Location History Objects

Tool to list objects with location history.

List Notification Groups

Tool to list notification contact groups.

List POI Categories

Tool to retrieve all POI categories supported by TomTom Search API.

List Sprite Versions

Tool to list available sprite asset versions.

Get Map Copyrights

Tool to retrieve copyright information for a specific map tile.

MAP_DISPLAY_RASTER_TILE

Tool to retrieve a raster map tile for specified coordinates and zoom.

Map Display Static Image

Tool to fetch a static map snapshot given center coords and zoom.

Map Display WMS GetMap

Tool to retrieve a map image via WMS GetMap.

Matrix Routing

Tool to calculate travel time and distance matrix between multiple locations.

Nearby Search

Tool to find Points of Interest near a specified location.

Edit Contact Group (Partial)

Tool to partially update a contact group in TomTom Notifications API.

Points of Interest Search

Tool to search for points of interest by query.

Reverse Geocode

Tool to convert geographic coordinates into a human-readable address.

Reverse Geocode Cross Street

Tool to find the nearest cross street or intersection for given geographic coordinates.

Reverse Geocode Orbis

Tool to convert geographic coordinates into a human-readable address using TomTom's Orbis Maps API.

Search Along Route

Tool to search for Points of Interest along a specified route with detour time constraints.

Search Along Route (v2)

Tool to search for Points of Interest along a specified route using Search API v2.

Search Geometry

Tool to search for POIs within geometric areas (circles or polygons).

Orbis Category Search

Tool to search for Points of Interest by category using TomTom Orbis Maps API.

Orbis Places Search

Tool to perform fuzzy search for addresses and points of interest using TomTom Orbis Maps API.

Orbis POI Search

Tool to search for points of interest using TomTom Orbis Maps API.

Snap to Roads (Sync)

Tool to snap GPS points to the road network synchronously.

Structured Geocode

Tool to convert structured address fields into coordinates.

Traffic Incidents

Tool to retrieve detailed traffic incidents within a bounding box.

Update Geofencing Secret

Tool to change the customer secret for TomTom Geofencing API.

Update Notifications Group

Tool to update an existing contact group in TomTom Notifications API.

FRAMEWORKS

How to build Tomtom MCP Agent with another framework

OpenAI Agents SDK logo

OpenAI Agents SDK

Use Tomtom MCP with OpenAI Agents SDK

Claude Agent SDK logo

Claude Agent SDK

Use Tomtom MCP with Claude Agent SDK

Claude Code logo

Claude Code

Use Tomtom MCP with Claude Code

Claude Cowork logo

Claude Cowork

Use Tomtom MCP with Claude Cowork

Codex logo

Codex

Use Tomtom MCP with Codex

OpenClaw logo

OpenClaw

Use Tomtom MCP with OpenClaw

Hermes logo

Hermes

Use Tomtom MCP with Hermes

CLI logo

CLI

Use Tomtom MCP with CLI

Google ADK logo

Google ADK

Use Tomtom MCP with Google ADK

LangChain logo

LangChain

Use Tomtom MCP with LangChain

Vercel AI SDK logo

Vercel AI SDK

Use Tomtom MCP with Vercel AI SDK

Mastra AI logo

Mastra AI

Use Tomtom MCP with Mastra AI

LlamaIndex logo

LlamaIndex

Use Tomtom MCP with LlamaIndex

FAQ

Frequently asked questions

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

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

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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
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
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
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
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
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
Jerome Leclanche
Co-Founder, Ingram Technologies