How to integrate Tomtom MCP with Pydantic AI

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Introduction

This guide walks you through connecting Tomtom to Pydantic AI 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 Pydantic AI 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

TL;DR

Here's what you'll learn:
  • How to set up your Composio API key and User ID
  • How to create a Composio Tool Router session for Tomtom
  • How to attach an MCP Server to a Pydantic AI agent
  • How to stream responses and maintain chat history
  • How to build a simple REPL-style chat interface to test your Tomtom workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

  • Type Safety: Built on Pydantic for automatic data validation
  • MCP Support: Native support for Model Context Protocol servers
  • Streaming: Built-in support for streaming responses
  • Async First: Designed for async/await patterns

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.

Supported Tools & Triggers

Tools
List Map FontsTool to list available font asset versions for map rendering.
List Assets SpritesTool to list available sprites for a given asset version.
List map stylesTool to list available map styles.
Calculate Long Distance EV RouteTool to calculate long-distance electric vehicle routes with optimal charging stops.
Calculate Matrix Routing SyncTool to calculate route matrix synchronously for multiple origins and destinations (up to 200 cells).
Calculate Reachable RangeTool to calculate the reachable range from a starting point given time, fuel, or energy constraints.
Calculate RouteTool to calculate driving routes.
Calculate Route with BodyTool to calculate routes with advanced options via POST request.
Category SearchTool to search for Points of Interest by category.
Create Notifications Contact GroupTool to create a contact group for TomTom notifications.
Create Routing BatchTool to submit asynchronous batch routing requests to TomTom API.
Create Routing Batch SyncTool to execute synchronous batch routing requests for multiple routes or reachable ranges.
Create Routing Matrix AsyncTool to submit asynchronous matrix routing calculation between multiple origins and destinations.
Create Waypoint OptimizationTool to optimize the sequence of waypoints to find the fastest route.
Geometry FilterTool to filter POIs by geometric boundaries (circles or polygons).
Create Snap to RoadsTool to snap GPS track points to the road network, correcting for GPS inaccuracies.
Create Snap to Roads BatchTool to submit asynchronous batch snap to roads requests to TomTom API.
Delete Notifications HistoryTool to clear the entire notifications history for the account.
Download Batch Search ResultsTool to download results of an asynchronous batch search job.
Download Matrix Routing Async ResultTool to download results of asynchronous matrix routing job.
Download Snap to Roads Async ResultTool to download results of asynchronous snap to roads batch job.
EV Charging Stations AvailabilityTool to retrieve EV charging station availability info.
Flow Segment DataTool to retrieve traffic flow data for a specific road segment.
Fuzzy SearchTool to perform a fuzzy search for addresses and points of interest.
Geocode QueryTool to convert a free-form address query into geographic coordinates.
Get Autocomplete SuggestionsTool to get search suggestions as user types a query.
Get Map Tile CopyrightsTool to retrieve copyright information for TomTom map tiles.
Get Geometry SearchTool to search for POIs and locations within specified geometric areas (circles or polygons).
Get Hillshade TileTool to retrieve hillshade terrain map tiles for specified coordinates and zoom.
Get Incident ViewportTool to retrieve incident viewport information including Traffic Model ID.
Get Map Copyrights Bounding BoxTool to retrieve copyright information for a geographic bounding box.
Get Map Copyrights CaptionTool 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 TileTool to retrieve Orbis map tiles at specified zoom level and coordinates.
Get Orbis Traffic Incident TileTool to retrieve Orbis Traffic Incident Tiles containing traffic incident data in Protocol Buffer format.
Get Map Style MetadataTool to retrieve map style metadata.
Get map styles metadataTool to retrieve map style metadata as a Mapbox Style Specification JSON.
Get Contact GroupTool to retrieve details of a specific contact group by its UUID.
Get Notifications HistoryTool to retrieve notifications history from TomTom.
Get Notifications SettingsTool to retrieve current notification settings.
Orbis GeocodeTool to geocode addresses using TomTom's Orbis Maps API.
Orbis Places AutocompleteTool to get autocomplete suggestions for place searches using TomTom Orbis Maps.
Orbis Structured GeocodeTool to convert structured address fields into geographic coordinates using TomTom Orbis Maps API.
Get Orbis Traffic Flow TileTool to retrieve Orbis traffic flow tile data in Protocol Buffer format.
Get Orbis Traffic Incident DetailsTool to retrieve detailed Orbis traffic incidents by bounding box or IDs.
Get Routing Batch ResultsTool to download asynchronous batch routing results.
Get Matrix Routing Async StatusTool to check the status of an asynchronous matrix routing job.
Get Satellite TileTool to retrieve satellite imagery map tiles at specified coordinates and zoom.
Get Snap to Roads Batch StatusTool to check the status of an asynchronous Snap to Roads batch job.
Get Traffic Flow Tiles RasterTool to retrieve raster traffic flow map tiles for visualization.
Get Traffic Incident DetailsTool to retrieve traffic incident details within a bounding box at a specified zoom level.
Get Traffic Incident TileTool to retrieve raster traffic incident map tiles showing traffic incidents at specified coordinates and zoom.
Get Traffic Incident ViewportTool to retrieve traffic incidents within a viewport defined by bounding box and zoom level.
List Geofencing Alert RulesTool to list geofencing alert rules with optional filtering.
List Geofencing Alerts HistoryTool to retrieve geofencing alert history within a specified time range.
List Geofencing ObjectsTool to list all tracked objects in the TomTom Geofencing system.
List Location History ObjectsTool to list objects with location history.
List Notification GroupsTool to list notification contact groups.
List POI CategoriesTool to retrieve all POI categories supported by TomTom Search API.
List Sprite VersionsTool to list available sprite asset versions.
Get Map CopyrightsTool to retrieve copyright information for a specific map tile.
MAP_DISPLAY_RASTER_TILETool to retrieve a raster map tile for specified coordinates and zoom.
Map Display Static ImageTool to fetch a static map snapshot given center coords and zoom.
Map Display WMS GetMapTool to retrieve a map image via WMS GetMap.
Matrix RoutingTool to calculate travel time and distance matrix between multiple locations.
Nearby SearchTool 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 SearchTool to search for points of interest by query.
Reverse GeocodeTool to convert geographic coordinates into a human-readable address.
Reverse Geocode Cross StreetTool to find the nearest cross street or intersection for given geographic coordinates.
Reverse Geocode OrbisTool to convert geographic coordinates into a human-readable address using TomTom's Orbis Maps API.
Search Along RouteTool 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 GeometryTool to search for POIs within geometric areas (circles or polygons).
Orbis Category SearchTool to search for Points of Interest by category using TomTom Orbis Maps API.
Orbis Places SearchTool to perform fuzzy search for addresses and points of interest using TomTom Orbis Maps API.
Orbis POI SearchTool 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 GeocodeTool to convert structured address fields into coordinates.
Traffic IncidentsTool to retrieve detailed traffic incidents within a bounding box.
Update Geofencing SecretTool to change the customer secret for TomTom Geofencing API.
Update Notifications GroupTool to update an existing contact group in TomTom Notifications API.

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

Prerequisites

Before starting, make sure you have:
  • Python 3.9 or higher
  • A Composio account with an active 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

bash
pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

  • composio connects your agent to external SaaS tools like Tomtom
  • pydantic-ai lets you create structured AI agents with tool support
  • python-dotenv loads your environment variables securely from a .env file

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

Create a .env file in your project root.

What's happening:

  • COMPOSIO_API_KEY authenticates your agent to Composio's API
  • USER_ID associates your session with your account for secure tool access
  • OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()
What's happening:
  • We load environment variables and import required modules
  • Composio manages connections to Tomtom
  • MCPServerStreamableHTTP connects to the Tomtom MCP server endpoint
  • Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python
async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Tomtom
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["tomtom"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")
What's happening:
  • We're creating a Tool Router session that gives your agent access to Tomtom 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

Initialize the Pydantic AI Agent

python
# Attach the MCP server to a Pydantic AI Agent
tomtom_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[tomtom_mcp],
    instructions=(
        "You are a Tomtom assistant. Use Tomtom tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)
What's happening:
  • The MCP client connects to the Tomtom endpoint
  • The agent uses GPT-5 to interpret user commands and perform Tomtom operations
  • The instructions field defines the agent's role and behavior

Build the chat interface

python
# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Tomtom.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()
What's happening:
  • The agent reads input from the terminal and streams its response
  • Tomtom API calls happen automatically under the hood
  • The model keeps conversation history to maintain context across turns

Run the application

python
if __name__ == "__main__":
    asyncio.run(main())
What's happening:
  • The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Tomtom and Pydantic AI:

python
import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Tomtom
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["tomtom"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    tomtom_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[tomtom_mcp],
        instructions=(
            "You are a Tomtom assistant. Use Tomtom tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Tomtom.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Tomtom through Composio's Tool Router. With this setup, your agent can perform real Tomtom actions through natural language. You can extend this further by:
  • Adding other toolkits like Gmail, HubSpot, or Salesforce
  • Building a web-based chat interface around this agent
  • Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Tomtom for workflow automation)
This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

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FAQ

What are the differences in Tool Router MCP and Tomtom MCP?

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.

Can I use Tool Router MCP with Pydantic AI?

Yes, you can. Pydantic AI 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.

Can I manage the permissions and scopes for Tomtom while using Tool Router?

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.

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 Tomtom data and credentials are handled as safely as possible.

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