How to integrate Tomtom MCP with LlamaIndex

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Introduction

This guide walks you through connecting Tomtom to LlamaIndex 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 LlamaIndex 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:
  • Set your OpenAI and Composio API keys
  • Install LlamaIndex and Composio packages
  • Create a Composio Tool Router session for Tomtom
  • Connect LlamaIndex to the Tomtom MCP server
  • Build a Tomtom-powered agent using LlamaIndex
  • Interact with Tomtom through natural language

What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.

Key features include:

  • ReAct Agent: Reasoning and acting pattern for tool-using agents
  • MCP Tools: Native support for Model Context Protocol
  • Context Management: Maintain conversation context across interactions
  • Async Support: Built 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 you begin, make sure you have:
  • Python 3.8/Node 16 or higher installed
  • A Composio account with the API key
  • An OpenAI API key
  • A Tomtom account and project
  • Basic familiarity with async Python/Typescript

Getting API Keys for OpenAI, Composio, and Tomtom

OpenAI API key (OPENAI_API_KEY)
  • Go to the OpenAI dashboard
  • Create an API key if you don't have one
  • Assign it to OPENAI_API_KEY in .env
Composio API key and user ID
  • Log into the Composio dashboard
  • Copy your API key from Settings
    • Use this as COMPOSIO_API_KEY
  • Pick a stable user identifier (email or ID)
    • Use this as COMPOSIO_USER_ID

Installing dependencies

pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv

Create a new Python project and install the necessary dependencies:

  • composio-llamaindex: Composio's LlamaIndex integration
  • llama-index: Core LlamaIndex framework
  • llama-index-llms-openai: OpenAI LLM integration
  • llama-index-tools-mcp: MCP client for LlamaIndex
  • python-dotenv: Environment variable management

Set environment variables

bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id

Create a .env file in your project root:

These credentials will be used to:

  • Authenticate with OpenAI's GPT-5 model
  • Connect to Composio's Tool Router
  • Identify your Composio user session for Tomtom access

Import modules

import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

Create a new file called tomtom_llamaindex_agent.py and import the required modules:

Key imports:

  • asyncio: For async/await support
  • Composio: Main client for Composio services
  • LlamaIndexProvider: Adapts Composio tools for LlamaIndex
  • ReActAgent: LlamaIndex's reasoning and action agent
  • BasicMCPClient: Connects to MCP endpoints
  • McpToolSpec: Converts MCP tools to LlamaIndex format

Load environment variables and initialize Composio

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

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_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")

What's happening:

This ensures missing credentials cause early, clear errors before the agent attempts to initialise.

Create a Tool Router session and build the agent function

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["tomtom"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Tomtom actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Tomtom actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)

What's happening here:

  • We create a Composio client using your API key and configure it with the LlamaIndex provider
  • We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, tomtom)
  • The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
  • LlamaIndex will connect to this endpoint to dynamically discover and use the available Tomtom tools.
  • The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.

Create an interactive chat loop

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

What's happening here:

  • We're creating a direct terminal interface to chat with your Tomtom database
  • The LLM's responses are streamed to the CLI for faster interaction.
  • The agent uses context to maintain conversation history
  • You can type 'quit' or 'exit' to stop the chat loop gracefully
  • Agent responses and any errors are displayed in a clear, readable format

Define the main entry point

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

What's happening here:

  • We're orchestrating the entire application flow
  • The agent gets built with proper error handling
  • Then we kick off the interactive chat loop so you can start talking to Tomtom

Run the agent

npx ts-node llamaindex-agent.ts

When prompted, authenticate and authorise your agent with Tomtom, then start asking questions.

Complete Code

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

import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

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

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
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")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["tomtom"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Tomtom actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Tomtom actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")

Conclusion

You've successfully connected Tomtom to LlamaIndex through Composio's Tool Router MCP layer. Key takeaways:
  • Tool Router dynamically exposes Tomtom tools through an MCP endpoint
  • LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
  • The agent becomes more capable without increasing prompt size
  • Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

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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 LlamaIndex?

Yes, you can. LlamaIndex 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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