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How to Use the Cloudbeds MCP in OpenAI Agents SDK

Connect Cloudbeds to your OpenAI Agents SDK build for direct control over reservations and guest data without custom glue code.

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Works with every AI agent you already use

…and any MCP-compatible client

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OpenAI Agents SDK

Connect Cloudbeds MCP to OpenAI Agents SDK

Create your Vinkius account to connect Cloudbeds 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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Full Cloudbeds data access in OpenAI Agents SDK

Your agent pulls real-time availability and property metrics directly from the Cloudbeds backend. It uses `check_availability` to answer booking queries and `get_dashboard` to summarize your morning operations. The system maps these functions to your agent's execution flow automatically. Your code handles the logic while the MCP Server manages the specific API calls to your hotel management platform.

Automate guest interactions with OpenAI Agents SDK

Stop digging through your PMS to find guest history or contact details. Your agent runs `search_guests` or `get_guest` to pull profiles, nationality, and past stay preferences the moment a message hits the chat. Everything stays within your agent's execution context. This allows your Python code to trigger reservation lookups via `get_reservation` without ever leaving the OpenAI environment.

Manage room inventory through OpenAI Agents SDK

You can now update your operational workflow by listing room types and current status through your agent. Tools like `list_rooms` and `list_housekeeping` expose the granular data needed to track room turnover. Your agent inspects the output of these tools to identify clean rooms or occupied suites. It's a direct bridge between your production agent system and the physical state of your hotel property.

Setup guide

Set up Cloudbeds 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. 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. 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 Cloudbeds tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

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

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 Cloudbeds MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class in your Python script. Pass your Vinkius endpoint URL, and the SDK discovers the tools automatically.
Yes, every action the server performs is subject to your agent's internal safety constraints. You can trace every tool call in your dashboard to ensure the agent only modifies reservation data when intended.
You control which tools are exposed by defining the server object in your agent constructor. By default, all 10 tools are available, but you can restrict them as needed.
Vinkius hosts the server in a managed sandbox environment that keeps connections alive. You just provide the token, and the SDK handles the session persistence.
The server only transmits raw reservation and profile data directly to your agent. No PII is stored or logged by the infrastructure, ensuring your guest records remain private.

Start using the Cloudbeds MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Cloudbeds. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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