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How to Use the IP Parking MCP in OpenAI Agents SDK

Run production-grade OpenAI Agents SDK workflows that directly control physical gates and update rates via the IP Parking API.

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OpenAI Agents SDK

Connect IP Parking MCP to OpenAI Agents SDK

Create your Vinkius account to connect IP Parking 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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Automate gate triggers with strict OpenAI Agents SDK safety

The `control_gate` tool handles physical entry and exit barrier states directly from your agentic workflows. By deploying this tool inside the OpenAI Agents SDK, you can set up guardrails that prevent accidental openings, ensuring gates only cycle when validated by your backend logic. You configure the agent with an async context manager using `MCPServerStreamableHttp`. The agent runs pre-execution checks on the hardware status via `list_hardware` before dispatching the gate command, preventing physical damage to malfunctioning equipment.

Dynamic tariff updates via specialized agent handoffs

The `update_tariff` tool changes hourly rates and pricing caps across your parking network instantly. Using the OpenAI Agents SDK, a supervisor agent can analyze revenue dips with `get_site_status` and hand off the task to a pricing agent to execute the rate change. This handoff mechanism ensures that rate edits are isolated from general user interactions. The pricing agent pulls existing rules with `list_tariffs` to verify the new rate falls within approved bounds before committing the update. It's that simple.

Automated ANPR testing using this MCP Server

The `register_anpr` tool simulates or registers license plate recognition events directly inside your testing pipelines. Your OpenAI Agents SDK setup triggers mock entries to verify that your billing integration responds correctly to incoming vehicles. To optimize API calls during testing, set `cacheToolsList=True` in your SDK configuration. This caches the IP Parking MCP definitions, allowing the agent to process mock transactions and run `get_ticket_details` without re-fetching schemas on every run.

Setup guide

Set up IP Parking 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. 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. 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 IP Parking tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate IP Parking 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="IP Parking Agent",
            instructions="You have access to IP Parking tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by IP Parking. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about IP Parking MCP in OpenAI Agents SDK

Install `openai-agents` via pip and configure `MCPServerStreamableHttpParams` with your server URL. Pass the server instance inside the `mcp_servers` list when initializing your Agent.
Yes, the agent can call `list_hardware` to inspect the gate's status before executing `control_gate`. This prevents sending open commands to offline or damaged physical barriers.
You should implement standard python rate-limiting decorators around your agent calls. The SDK handles the connection stream, but the underlying IP Parking API limits require backoff logic.
Yes, your agent uses `list_sites` to retrieve all managed locations. It can then run site-specific tools like `get_site_status` to monitor occupancy or revenue across your entire network.
This server transmits license plate strings from `register_anpr` and transaction histories from `list_transactions`. Vinkius isolates this traffic in an ephemeral sandbox, ensuring your physical site's raw security logs never persist on external servers.

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