How to Use the InflatableOffice MCP in OpenAI Agents SDK

Q: How do I register the InflatableOffice MCP Server with the OpenAI Agents SDK?

Install the package using pip install openai-agents and initialize the server with MCPServerStreamableHttp. Pass the instance to your Agent constructor in the mcpservers list, enabling immediate tool discovery.

Q: How does the OpenAI Agents SDK handle tool caching for InflatableOffice?

Set cacheToolsList=True when configuring your server streamable HTTP parameters. This prevents the SDK from repeatedly querying the schema of tools like listleads or listcustomers, speeding up response times.

Q: Can I trace customer lookup calls made by my agent?

Yes. Every call your agent makes to getleaddetails or listcustomers is recorded in the OpenAI developer dashboard, allowing you to debug tool usage and trace agent reasoning.

Deploy autonomous booking agents that manage your rental fleet using the InflatableOffice MCP Server and OpenAI Agents SDK.

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Connect InflatableOffice MCP to OpenAI Agents SDK

Create your Vinkius account to connect InflatableOffice 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 InflatableOffice with OpenAI Agents SDK

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Prevent double-bookings via OpenAI Agents SDK

Your OpenAI agents can query physical stock levels in real time using `list_rental_inventory`. Instead of guessing if a 15-foot water slide is clean and ready for Saturday, the agent checks the database before promising it to a customer. This MCP Server setup runs inside an async context manager using `MCPServerStreamableHttp`. By setting `cacheToolsList=True`, your agent handles concurrent rental requests without lag, keeping the booking pipeline moving.

Automate lead triage with agent handoffs

Route high-value corporate inquiries to your sales agent while letting standard backyard bounce house bookings resolve automatically. The agent uses `create_new_lead` to log incoming party details directly into your CRM. If an event requires manual route planning, the agent hands the task off to a logistics specialist agent. You can trace every decision and API call directly inside your OpenAI dashboard.

Track scheduled events on the fly

Give your agents access to delivery schedules using `list_scheduled_events`. When a customer calls asking when their obstacle course will arrive, the agent pulls the exact schedule without human intervention. Passing this MCP Server to your Agent constructor lets the model parse complex date ranges instantly. It keeps your drivers on schedule and your customers informed without manual lookup.

Setup guide

Set up InflatableOffice 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 InflatableOffice tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives InflatableOffice tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

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

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by InflatableOffice. 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 InflatableOffice MCP in OpenAI Agents SDK

Install the package using `pip install openai-agents` and initialize the server with `MCPServerStreamableHttp`. Pass the instance to your Agent constructor in the `mcp_servers` list, enabling immediate tool discovery.

Yes. You configure guardrails within the SDK to validate the output of `list_rental_inventory` before the agent triggers `create_new_lead`. This stops double-bookings during peak rental seasons.

Set `cacheToolsList=True` when configuring your server streamable HTTP parameters. This prevents the SDK from repeatedly querying the schema of tools like `list_leads` or `list_customers`, speeding up response times.

Yes. Every call your agent makes to `get_lead_details` or `list_customers` is recorded in the OpenAI developer dashboard, allowing you to debug tool usage and trace agent reasoning.

Vinkius hosts the server in a zero-trust, ephemeral V8 isolate sandbox. Your OpenAI agent accesses the database through a single secure endpoint token, keeping customer records isolated from public access.

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