IP Parking MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect IP Parking through 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="IP Parking Assistant",
instructions=(
"You help users interact with IP Parking. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from IP Parking"
)
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 IP Parking MCP Server
Connect IP Parking to any AI agent and streamline your Parking Access and Revenue Control System (PARCS) — manage occupancy, update tariffs, control gates, and audit transactions through natural conversation.
The OpenAI Agents SDK auto-discovers all 10 tools from IP Parking through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries IP Parking, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Site Management — Monitor real-time occupancy and revenue across all locations
- Tariff Configuration — View and modify hourly rates and pricing rules instantly
- Gate Control — Remotely open/close barriers for assistance or maintenance
- Hardware Monitoring — Check health of ANPR cameras, ticket dispensers, and gates
- Transaction Auditing — Review exit logs and revenue collection
- ANPR Integration — Register or simulate license plate recognition events
The IP 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 IP Parking to OpenAI Agents SDK via MCP
Follow these steps to integrate the IP 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 IP Parking
Why Use OpenAI Agents SDK with the IP Parking MCP Server
OpenAI Agents SDK provides unique advantages when paired with IP 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
IP Parking + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the IP Parking MCP Server delivers measurable value.
Automated workflows: build agents that query IP Parking, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries IP Parking, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through IP Parking tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query IP Parking to resolve tickets, look up records, and update statuses without human intervention
IP Parking MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect IP Parking to OpenAI Agents SDK via MCP:
control_gate
Remotely open or close a barrier gate.. Actions: default
get_site_status
Get real-time occupancy and revenue status for a site
get_system_health
Get overall system health and connectivity status
get_ticket_details
Get details of a specific parking ticket/session
list_hardware
List hardware status (ANPR cameras, ticket machines, gates)
list_sites
List all managed parking sites
list_tariffs
List active tariff rules
list_transactions
List recent exit transactions and revenue logs
register_anpr
Used for testing or manual override of entry/exit. Simulate or register an ANPR (License Plate Recognition) event
update_tariff
Use this to adjust hourly rates or caps. Update tariff rules or rates
Example Prompts for IP Parking in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with IP Parking immediately.
"Show me the occupancy of Site A."
"Open gate 3 for a manual exit."
"Update tariff 'Standard' to €4.50 per hour."
Troubleshooting IP Parking MCP Server with OpenAI Agents SDK
Common issues when connecting IP Parking to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
IP Parking + OpenAI Agents SDK FAQ
Common questions about integrating IP Parking 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 IP Parking with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
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 IP Parking to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.