How to Use the TomTom MCP in OpenAI Agents SDK

Q: How does TomTom work with OpenAI Agents SDK for routing?

The OpenAI Agents SDK executes the calculateroute tool, which returns both a polyline and the expected travel time. This lets your agent decide if the trip is viable before telling the user.

Q: How do I check for incidents using TomTom with the OpenAI Agents SDK?

You call gettrafficincidents, providing a bounding box (min/max lat/lon coordinates). The agent then processes real-time traffic incident reports within that specific area.

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Connect TomTom MCP to OpenAI Agents SDK

Create your Vinkius account to connect TomTom to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup TomTom with OpenAI Agents SDK

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Calculating Routes and Traffic for your Agent

Your agent uses `calculate_route` to determine a travel time and the route polyline between any two points. It also handles real-time conditions; calling `get_traffic_flow_segment` gives immediate speed and quality data for specific road segments. If you need incident details, the agent queries `get_traffic_incidents` using min/max coordinates to map out issues in a bounding box.

Managing Location Data with the MCP Server

The server supports multiple ways to find locations. You can convert messy physical addresses into precise coordinates via `fuzzy_geocoding`. Alternatively, if you have explicit data like a zip code and country, use `structured_geocoding` for maximum accuracy. Need predictive help? Passing just a partial string allows the agent to call `autocomplete_place_search`, giving instant location suggestions.

Finding Points of Interest (POI) via Agent

The toolset lets your agent search for specific services. By calling `search_poi_by_category`, the agent finds everything—say, hospitals or gas stations—near a given center point. Once the agent gets an ID back, it can use `get_poi_details` to pull rich metadata about that exact location.

Setup guide

Set up TomTom MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all TomTom tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives TomTom tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate TomTom tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="TomTom Agent",
            instructions="You have access to TomTom tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about TomTom MCP in OpenAI Agents SDK

The OpenAI Agents SDK executes the `calculate_route` tool, which returns both a polyline and the expected travel time. This lets your agent decide if the trip is viable before telling the user.

Yeah, absolutely. If you're dealing with slightly wrong or messy input, use `fuzzy_geocoding`. It converts those ambiguous physical address strings into reliable geographic coordinates for your agent.

The TomTom MCP Server exposes detailed mapping services. This includes real-time traffic speed, POI metadata, and structured geocoding endpoints.

You call `get_traffic_incidents`, providing a bounding box (min/max lat/lon coordinates). The agent then processes real-time traffic incident reports within that specific area.

The server primarily handles location data, including center coordinates, bounding box coordinates, and structured addresses. This is what your OpenAI Agents SDK needs to function.

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