How do I book a parking spot via the API?

Use the book_parking action. You need the spot_id, start/end times, a valid payment method ID, and vehicle details (plate, make, model) in JSON format.

Can I compare prices for different spots?

Yes! Use search_parking to get a list of spots with their total costs, or use get_pricing to check the specific rate for a single spot over a duration.

How do I cancel a reservation?

Use the cancel_reservation action with the reservation_id. Check SpotHero's policy for refund timelines.

SpotHero Parking MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: SpotHero Parking
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect SpotHero Parking through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

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="SpotHero Parking Assistant",
            instructions=(
                "You help users interact with SpotHero Parking. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from SpotHero Parking"
        )
        print(result.final_output)

asyncio.run(main())

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About SpotHero Parking MCP Server

Connect SpotHero to any AI agent and simplify urban mobility — search parking by location, compare prices, book reservations, and manage vehicle details through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from SpotHero Parking through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SpotHero Parking, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Spot Search — Find available parking spots by coordinates and time range
Dynamic Pricing — Compare rates and get real-time pricing for specific durations
Instant Booking — Create reservations instantly with vehicle info and payment method
Reservation Management — View, update vehicle details, or cancel existing bookings
Event Awareness — Discover nearby events that might impact parking availability
Garage Details — Access garage amenities, hours, and contact info

The SpotHero Parking MCP Server exposes 10 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 SpotHero Parking to OpenAI Agents SDK via MCP

Follow these steps to integrate the SpotHero Parking 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 10 tools from SpotHero Parking

Why Use OpenAI Agents SDK with the SpotHero Parking MCP Server

OpenAI Agents SDK provides unique advantages when paired with SpotHero Parking 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

SpotHero Parking + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the SpotHero Parking MCP Server delivers measurable value.

Automated workflows: build agents that query SpotHero Parking, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries SpotHero Parking, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through SpotHero Parking tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query SpotHero Parking to resolve tickets, look up records, and update statuses without human intervention

SpotHero Parking MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect SpotHero Parking to OpenAI Agents SDK via MCP:

book_parking

Requires spot ID, start/end times, payment method ID, and vehicle info (make, model, plate, color). Book a parking spot and create a reservation

cancel_reservation

Check cancellation policy for refund eligibility. Cancel an active parking reservation

get_garage_details

Get information about a specific garage

get_pricing

Useful for comparing rates before booking. Get dynamic pricing for a parking spot for a specific duration

get_reservation

Get details of a specific parking reservation

get_spot_details

Get detailed information and pricing for a specific parking spot

list_reservations

Optional status filter (upcoming, past, cancelled). List all parking reservations for the authenticated account

search_events

Useful for anticipating demand. Search for nearby events that might affect parking availability or pricing

search_parking

Use this to find parking options for users. Times must be in ISO 8601 format. Search for available parking spots near a location for a specific time range

update_vehicle_info

Use this if the user changes cars before parking. Update vehicle information for an existing reservation

Example Prompts for SpotHero Parking in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with SpotHero Parking immediately.

"Find parking near Times Square for 2 hours starting now."

"Book spot 12345 from 9 AM to 5 PM tomorrow."

"What events are happening downtown tonight?"

Troubleshooting SpotHero Parking MCP Server with OpenAI Agents SDK

Common issues when connecting SpotHero Parking to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

SpotHero Parking + OpenAI Agents SDK FAQ

Common questions about integrating SpotHero Parking MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.