How to Use the Beds24 MCP in OpenAI Agents SDK

Q: How do I connect the Beds24 MCP Server to the OpenAI Agents SDK?

Install openai-agents via pip. Initialize MCPServerStreamableHttp with your Vinkius URL and pass it to the mcpservers array in your Agent constructor.

Q: Can the OpenAI Agents SDK read Beds24 room availability?

Yes. The agent automatically discovers the getavailability tool. It queries your live inventory before attempting to process new reservations.

Q: How do I cache the Beds24 tool definitions?

Set cacheToolsList=True when configuring the server. This prevents the agent from re-fetching the tool list on every single request.

Q: Is my Beds24 guest data secure when using this MCP Server?

Guest names and booking details from getbooking run through an isolated V8 sandbox. Vinkius drops the container immediately after the request finishes, leaving zero trace of your reservations.

Build production-ready property management agents by connecting the Beds24 MCP Server to the OpenAI Agents SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Beds24 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Beds24 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.

GDPR Free for Subscribers

Setup Beds24 with OpenAI Agents SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage Bookings with OpenAI Agents SDK

The Beds24 MCP Server automatically exposes the `get_booking` and `list_bookings` tools to your agent. You pass the endpoint to the constructor, and it instantly knows how to read your reservations. Built-in guardrails ensure the agent checks availability before confirming anything. When a user asks for open dates, the agent runs `get_availability` and returns accurate data backed by OpenAI tracing.

Property and Room Inventory

The `list_properties` tool grabs your entire portfolio directly from the channel manager. Pulling property data shouldn't require writing custom API wrappers. Handoffs work perfectly here. One specialized agent fetches details using `get_property`, while another handles specific units via `list_rooms`.

Live Calendar Synchronization

Your production system relies on `get_calendar` to read live states straight from the source. Stale data causes double bookings. Set `cacheToolsList=True` to keep your agent fast. It checks the live calendar without constantly re-fetching the tool definitions from the MCP server.

Setup guide

Set up Beds24 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 Beds24 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Beds24 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Beds24 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="Beds24 Agent",
            instructions="You have access to Beds24 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Beds24. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Beds24 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Beds24 MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Initialize `MCPServerStreamableHttp` with your Vinkius URL and pass it to the `mcp_servers` array in your Agent constructor.

Yes. The agent automatically discovers the `get_availability` tool. It queries your live inventory before attempting to process new reservations.

It does. You can build a routing agent that delegates tasks to a specialized property agent equipped with the `get_property` and `list_rooms` tools.

Set `cacheToolsList=True` when configuring the server. This prevents the agent from re-fetching the tool list on every single request.

Guest names and booking details from `get_booking` run through an isolated V8 sandbox. Vinkius drops the container immediately after the request finishes, leaving zero trace of your reservations.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript