How many properties use Cloudbeds?

Cloudbeds serves 20,000+ properties in 150+ countries — hotels, hostels, vacation rentals, B&Bs, and hotel groups. It's the most widely used all-in-one hospitality platform.

Can I use the AI to manage the cleaning schedule?

Yes! The MCP communicates directly with the Cloudbeds Housekeeping module. You can query dirty rooms, assign staff, and update statuses like 'Inspected' conversationally.

Is the dashboard data delayed?

No, it pulls strictly real-time numbers natively routed from the Cloudbeds API covering exact metrics on ADR, current Occupancy, and live Check-in progress.

Cloudbeds MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Cloudbeds
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cloudbeds through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Cloudbeds Assistant",
            instructions=(
                "You help users interact with Cloudbeds. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cloudbeds"
        )
        print(result.final_output)

asyncio.run(main())

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Cloudbeds MCP Server

Connect your Cloudbeds property to any AI agent and run your hotel from a single conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from Cloudbeds through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cloudbeds, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Reservations — Browse, filter by status, and drill into booking details
Guests — Search profiles, view stay history and lifetime value
Rooms & Housekeeping — Real-time room status and cleaning priorities
Availability — Check open rooms for any date range instantly
Transactions — Track charges, payments, and guest balances
Dashboard — Today's KPIs: occupancy, revenue, ADR, check-ins/outs

The Cloudbeds MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Cloudbeds to OpenAI Agents SDK via MCP

Follow these steps to integrate the Cloudbeds MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Cloudbeds

Why Use OpenAI Agents SDK with the Cloudbeds MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cloudbeds through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Cloudbeds + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cloudbeds MCP Server delivers measurable value.

Automated workflows: build agents that query Cloudbeds, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Cloudbeds, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Cloudbeds tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Cloudbeds to resolve tickets, look up records, and update statuses without human intervention

Cloudbeds MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Cloudbeds to OpenAI Agents SDK via MCP:

check_availability

Essential for booking inquiries and revenue management. Check room availability

get_dashboard

The GM's morning briefing. Get property dashboard

get_guest

Get guest profile

get_housekeeping

For housekeeping management. Get housekeeping status

get_reservation

Get reservation details

list_reservations

Filter by status: confirmed, checked_in, checked_out, cancelled. Core front-desk tool. List hotel reservations

list_room_types

With max occupancy, amenities, base rate, and room count. List room types

list_rooms

List hotel rooms

list_transactions

Filter by reservation to see a guest's complete financial history. List financial transactions

search_guests

Returns profile, contact, nationality, past stays, preferences, and lifetime value. Search hotel guests

Example Prompts for Cloudbeds in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cloudbeds immediately.

"What's our occupancy and revenue for today?"

"List dirty rooms pending turnover for the afternoon layout."

"Find the ongoing reservation of Mr. Anderson."

Troubleshooting Cloudbeds MCP Server with OpenAI Agents SDK

Common issues when connecting Cloudbeds to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cloudbeds + OpenAI Agents SDK FAQ

Common questions about integrating Cloudbeds MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.