How to Use the Checkfront MCP in OpenAI Agents SDK

Q: How do I set up the Checkfront MCP Server with OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance using your Vinkius URL and pass it to the Agent constructor. Set cacheToolsList=True to speed up initialization.

Q: Can the OpenAI Agents SDK read Checkfront availability?

Yes. The agent calls checkavailability to see open slots for any tour or rental. It stops hallucinated bookings before they happen.

Q: What booking details does Checkfront expose to OpenAI Agents SDK?

The system pulls schedules via listbookings and exact reservation data through getbooking. Your agent reads the same schedule your staff sees.

Q: How does the agent find specific items?

It runs getitem to read the details of a single tour or rental. You can also dump the whole catalog using listitems.

Build production-ready tour management systems using Checkfront and the OpenAI Agents SDK.

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Connect Checkfront MCP to OpenAI Agents SDK

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

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Read Checkfront inventory with OpenAI Agents SDK

The `list_items` and `list_categories` tools in this MCP Server pull your catalog directly into the agent's context. Your bot sees exactly what tours or rental gear you offer, complete with item counts per category. When a customer asks about weekend options, the agent hits `check_availability` to confirm spots before replying. OpenAI guardrails ensure the system never promises a booking for an unavailable timeslot.

Query reservations and accounts

The `list_bookings` tool lets your agent answer questions like 'What tours are booked for Saturday?' in real time. It fetches schedules without requiring you to build a custom API wrapper. Need specific details? Hand the conversation to a specialized support agent that uses `get_booking` and `get_account` to pull up the exact reservation. You track the entire tool execution chain right in your OpenAI dashboard.

Connect MCP Server customer data

The `search_customers` tool retrieves contact details, booking history, total spend, and signed waivers. Your agent gets full context on whoever it talks to. If a high-value customer reaches out, the system routes them to priority handling based on that total spend metric. You just pass the Vinkius endpoint token to your agent constructor and the tools auto-discover.

Setup guide

Set up Checkfront 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 Checkfront tools at runtime.
3

Create your Agent

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

Run the agent

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

asyncio.run(main())

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Common questions about Checkfront MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance using your Vinkius URL and pass it to the Agent constructor. Set `cacheToolsList=True` to speed up initialization.

Yes. The agent calls `check_availability` to see open slots for any tour or rental. It stops hallucinated bookings before they happen.

The system pulls schedules via `list_bookings` and exact reservation data through `get_booking`. Your agent reads the same schedule your staff sees.

It runs `get_item` to read the details of a single tour or rental. You can also dump the whole catalog using `list_items`.

Vinkius runs the server in an ephemeral V8 Isolate Sandbox. The process reads your customer names, total spend, and waiver status through `search_customers`, sends it to your agent, and destroys the sandbox. Nothing gets logged or stored.

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