How to Use the Boathouse Connect MCP in OpenAI Agents SDK

Q: How do I debug failed reservation calls in Boathouse Connect using OpenAI Agents SDK?

You can monitor every execution of createreservation or getreservation directly inside the OpenAI developer dashboard. If a tool call fails, the SDK captures the exact payload sent to the marina API for easy troubleshooting.

Q: How does this setup protect sensitive member profiles and reservation data?

All member details retrieved via getuser and reservation dates remain within your sandboxed OpenAI agent execution context. Vinkius secures the API connection with ephemeral tokens, ensuring no customer boat slip reservations or PII are stored or leaked during tool execution.

Run your marina operations using the OpenAI Agents SDK to book boat slips and check schedules with built-in guardrails.

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Connect Boathouse Connect MCP to OpenAI Agents SDK

Create your Vinkius account to connect Boathouse Connect 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 Boathouse Connect with OpenAI Agents SDK

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Verify marina schedules with OpenAI Agents SDK

The Boathouse Connect MCP Server exposes your marina's entire database directly to your OpenAI agent network. When a customer asks about slip availability, the agent runs `list_schedules` to check current dock allocations without leaving your python runtime. Your agent then calls `list_locations` to pinpoint which docks are open for the requested dates. Because this runs inside the OpenAI Agents framework, you can trace these tool calls directly on your developer dashboard to monitor how your agent navigates your marina layout.

Book boat slips safely with runtime guardrails

The `create_reservation` tool inside the Boathouse Connect MCP Server requires absolute precision to avoid double-booking expensive wet slips. This integration lets your OpenAI agent execute bookings only after your custom guardrails validate the member's standing. If a customer requests a booking, the agent retrieves member details via `get_user` to verify their profile. Once validated, it calls `get_equipment` to ensure their vessel actually fits the designated slip before finalizing the booking.

Automate member check-ins and equipment tracking

The Boathouse Connect MCP Server lets your agent query complete member directories using `list_users` during peak weekend arrivals. This keeps your front desk moving fast when boats start lining up at the dock. For maintenance crews, the agent checks the status of specific marina gear with `get_equipment`. You get real-time operational awareness because your OpenAI agents can hand off tasks to specialized maintenance bots when issues arise.

Setup guide

Set up Boathouse Connect 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 Boathouse Connect tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Boathouse Connect 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="Boathouse Connect Agent",
            instructions="You have access to Boathouse Connect 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 Boathouse Connect. 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 Boathouse Connect MCP in OpenAI Agents SDK

Install the package using pip, then initialize the server using `MCPServerStreamableHttp` with your Vinkius MCP endpoint. Pass this instance into your Agent constructor's `mcp_servers` list. Set `cacheToolsList=True` to keep your agent's tool discovery fast and efficient.

Yes, the SDK manages async tool execution when multiple agents trigger `create_reservation` concurrently. Your agents will pull real-time updates using `list_reservations` to prevent overlapping bookings.

You can monitor every execution of `create_reservation` or `get_reservation` directly inside the OpenAI developer dashboard. If a tool call fails, the SDK captures the exact payload sent to the marina API for easy troubleshooting.

You define agent permissions during initialization by only passing the server to specific specialized agents. This ensures your front-desk agent can run `list_reservations` while your maintenance agent is the only one calling `get_equipment`.

All member details retrieved via `get_user` and reservation dates remain within your sandboxed OpenAI agent execution context. Vinkius secures the API connection with ephemeral tokens, ensuring no customer boat slip reservations or PII are stored or leaked during tool execution.

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