How to Use the TomTom Parking Availability MCP in OpenAI Agents SDK

Q: How does TomTom Parking Availability integrate with OpenAI Agents SDK?

Your AI client uses searchparkingspots to find spots near a given location. The agent then processes the structured results, letting you pass that data directly into your system for follow-up actions.

Q: What if I need detailed info about one spot using TomTom Parking Availability with OpenAI Agents SDK?

You just call getparkingdetails and pass in the specific parking ID. This tool returns all available metadata, which is perfect for advanced validation logic.

Q: Does TomTom Parking Availability support error handling when using OpenAI Agents SDK?

Yes. The checkapistatus tool lets you verify connectivity first. If that fails, your agent knows not to proceed with expensive searches or detail lookups.

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Connect TomTom Parking Availability MCP to OpenAI Agents SDK

Create your Vinkius account to connect TomTom Parking Availability 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 Parking Availability with OpenAI Agents SDK

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Check Service Health

The `check_api_status` tool confirms if the entire TomTom Parking service is up and running. This means your agent won't waste time trying to connect to a dead endpoint, saving compute cycles. It provides immediate confirmation of the API’s operational state before any complex search logic runs. You can build reliable fail-fast guardrails around this check.

Get Specific Spot Metadata

Need deep details on one parking garage? Use `get_parking_details` to pull full metadata for a specific ID. This goes beyond just 'available'—you get capacity, structure data, and more. It lets your agent validate if the spot meets complex criteria, like height limits or accessibility requirements, before suggesting it to the user.

Search Nearby Locations

`search_parking_spots` finds available parking by location coordinates. This is the core tool for most use cases, giving you a list of potential spots near an address. When combined with the guardrails in the OpenAI Agents SDK, your agent filters this raw data against user preferences immediately after running the search.

Setup guide

Set up TomTom Parking Availability 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 Parking Availability tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives TomTom Parking Availability 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 Parking Availability 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 Parking Availability Agent",
            instructions="You have access to TomTom Parking Availability 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 Parking Availability MCP in OpenAI Agents SDK

Your AI client uses `search_parking_spots` to find spots near a given location. The agent then processes the structured results, letting you pass that data directly into your system for follow-up actions.

The server exposes location metadata and availability status. Specifically, it handles parking IDs and associated geospatial coordinates when searching or checking details.

Absolutely. You can build multi-step workflows where the agent first runs `check_api_status`, then calls `search_parking_spots`, and finally passes the resulting data to a specialized handler.

You just call `get_parking_details` and pass in the specific parking ID. This tool returns all available metadata, which is perfect for advanced validation logic.

Yes. The `check_api_status` tool lets you verify connectivity first. If that fails, your agent knows not to proceed with expensive searches or detail lookups.

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