TomTom Parking Availability MCP Server for OpenAI Agents SDK 3 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect TomTom Parking Availability through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="TomTom Parking Availability Assistant",
instructions=(
"You help users interact with TomTom Parking Availability. "
"You have access to 3 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from TomTom Parking Availability"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About TomTom Parking Availability MCP Server
Empower your AI agent to orchestrate your entire urban mobility and parking auditing workflow with TomTom Parking Availability, the comprehensive source for real-time parking data. By connecting the TomTom API to your agent, you transform complex location searches into a natural conversation. Your agent can instantly search for parking facilities, audit address metadata, and retrieve coordinate details without you ever touching a navigation app. Whether you are conducting logistics research or managing regional fleet constraints, your agent acts as a real-time mobility consultant, ensuring your data is always precise and localized.
The OpenAI Agents SDK auto-discovers all 3 tools from TomTom Parking Availability through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries TomTom Parking Availability, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
What you can do
- Parking Auditing — Search for thousands of parking spots near a specific location and retrieve detailed metadata, including facility names and addresses.
- Location Oversight — Audit the exact geographic coordinates for specific parking facilities to understand local distribution instantly.
- Availability Discovery — Query detailed POI information for specific parking IDs to assist in deep-dive urban planning.
- Mobility Intelligence — Retrieve high-resolution location details to assist in regional logistics and fleet management.
- Operational Monitoring — Check API status to ensure your mobility research workflow is always operational.
The TomTom Parking Availability MCP Server exposes 3 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect TomTom Parking Availability to OpenAI Agents SDK via MCP
Follow these steps to integrate the TomTom Parking Availability MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 3 tools from TomTom Parking Availability
Why Use OpenAI Agents SDK with the TomTom Parking Availability MCP Server
OpenAI Agents SDK provides unique advantages when paired with TomTom Parking Availability through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
TomTom Parking Availability + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the TomTom Parking Availability MCP Server delivers measurable value.
Automated workflows: build agents that query TomTom Parking Availability, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries TomTom Parking Availability, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through TomTom Parking Availability tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query TomTom Parking Availability to resolve tickets, look up records, and update statuses without human intervention
TomTom Parking Availability MCP Tools for OpenAI Agents SDK (3)
These 3 tools become available when you connect TomTom Parking Availability to OpenAI Agents SDK via MCP:
check_api_status
Check if the TomTom Parking service is operational
get_parking_details
Get full details and availability metadata for a specific parking ID
search_parking_spots
Search for parking spots near a specific location
Example Prompts for TomTom Parking Availability in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with TomTom Parking Availability immediately.
"Search for parking spots in 'San Francisco' using TomTom."
"What is the availability for parking ID '12345'?"
"Find parking near latitude 37.7749 and longitude -122.4194."
Troubleshooting TomTom Parking Availability MCP Server with OpenAI Agents SDK
Common issues when connecting TomTom Parking Availability to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
TomTom Parking Availability + OpenAI Agents SDK FAQ
Common questions about integrating TomTom Parking Availability MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect TomTom Parking Availability with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect TomTom Parking Availability to OpenAI Agents SDK
Get your token, paste the configuration, and start using 3 tools in under 2 minutes. No API key management needed.