How to Use the Beds24 MCP in CrewAI
Deploy a CrewAI team to autonomously manage your Beds24 operations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Beds24 MCP to CrewAI
Create your Vinkius account to connect Beds24 to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
CrewAI Teams for Beds24 Monitoring
Assign a research agent to call `list_rooms` and `get_availability` while a moderator agent evaluates the results. The crew collaborates to keep your inventory updated. This architecture lets you build a self-correcting system. One agent finds the data, the other validates it, and the third takes action.
Automated Booking Audits with CrewAI
Task your agents with cross-referencing bookings using `list_bookings`. They can detect anomalies and escalate issues to you automatically. Since the agents share memory, they build context over time. They don't just fetch data; they understand the state of your property management.
Property Coordination via CrewAI
Use `get_property` to feed your agents specific details about your locations. They use this context to answer queries or suggest operational changes. Your crew functions as a specialized team of employees. They operate within the bounds you set, using the MCP Server to interact with your data.
Set up Beds24 MCP in CrewAI
Prerequisites
- Python 3.10+ installed
-
crewaipackage (pip install crewai) - Active Vinkius subscription with a valid endpoint token
- 1
Install CrewAI
Run
pip install crewaito install the framework. MCP support is built-in via themcpsparameter. - 2
Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the
mcpslist. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically. - 3
Kick off your crew
Create a
Crewwith your agent and tasks. Callcrew.kickoff()— the agent will automatically invoke Beds24 tools as needed.
from crewai import Agent, Task, Crew
agent = Agent(
role="Beds24 Analyst",
goal="Access and analyze Beds24 data via MCP.",
backstory="Expert analyst with direct Beds24 access.",
mcps=[
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
],
)
task = Task(
description="List recent Beds24 transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) Prerequisites
- Python 3.10+ installed
-
crewai+crewai-toolspackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install crewai crewai-tools. TheMCPServerAdapterhandles lifecycle management and tool conversion. - 2
Connect with MCPServerAdapter
Use
MCPServerAdapteras a context manager withSseServerParameterspointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle. - 3
Assign tools and run
Pass the returned
mcp_toolsto your agent'stoolsparameter. The adapter converts MCP tools to nativeBaseToolobjects compatible with all CrewAI agents.
from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters
server_params = SseServerParameters(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
with MCPServerAdapter(server_params) as mcp_tools:
agent = Agent(
role="Beds24 Analyst",
goal="Access and analyze Beds24 data via MCP.",
backstory="Expert analyst with direct Beds24 access.",
tools=mcp_tools,
)
task = Task(
description="List recent Beds24 transactions",
agent=agent,
expected_output="A summary of recent activity",
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result) 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.
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 CrewAI
Use it with your favorite AI tools
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