How to Use the Amenitiz MCP in CrewAI

Q: Does CrewAI require specific Amenitiz tools?

You can filter tools using the toolfilter option. This lets you restrict your agents to only the functions they need to do their job.

Deploy specialized Amenitiz crews for autonomous hotel management with CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Amenitiz MCP to CrewAI

Create your Vinkius account to connect Amenitiz 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.

GDPR Free for Subscribers

Setup Amenitiz with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Autonomous monitoring with CrewAI

Assign a dedicated agent to call `get_availability` and `list_rooms` continuously. This monitor agent alerts your team the second inventory levels hit your limit. Stop checking the dashboard manually. Your crew watches the property while you focus on guests.

Collaborative guest services with CrewAI

Use a specialized agent to `list_guests` and pass that data to a communications agent. Your crew prepares guest messages based on real reservation history. Work smarter. Agents share memory, meaning your communication agent knows exactly who the guest is before it starts typing.

Hierarchical reservation handling

Set up a manager agent to delegate tasks like `get_reservation` to worker agents. You define the hierarchy in your crew setup, and the agents execute the plan. Keep your operations organized. The manager directs the flow, ensuring every booking is handled correctly.

Setup guide

Set up Amenitiz MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. 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 Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Amenitiz tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Amenitiz Analyst",
    goal="Access and analyze Amenitiz data via MCP.",
    backstory="Expert analyst with direct Amenitiz access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Amenitiz transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

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="Amenitiz Analyst",
        goal="Access and analyze Amenitiz data via MCP.",
        backstory="Expert analyst with direct Amenitiz access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Amenitiz transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 Amenitiz. 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 Amenitiz 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 Amenitiz MCP in CrewAI

You pass the server URL directly into your agent definition. CrewAI handles the tool registration automatically.

Yes. You define the goals for your agents, and they collaborate to fetch data and report results autonomously.

You can filter tools using the tool_filter option. This lets you restrict your agents to only the functions they need to do their job.

You decide the flow. You can run tasks sequentially or hierarchically depending on your agent configuration.

Your crew runs in a restricted memory space. We enforce strict data boundaries so that only authorized agents see your guest records.

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

Mastra AI sdk-typescript

Start using the Amenitiz MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started