How to Use the StayFi MCP in CrewAI

Q: How does StayFi ensure continuous network monitoring with CrewAI?

You set up a loop: one agent continuously calls checkstayfistatus while another acts as the 'Alert Agent,' which sends notifications if connectivity drops below the threshold.

Autonomous StayFi operations: Build collaborative teams of agents using CrewAI.

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Connect StayFi MCP to CrewAI

Create your Vinkius account to connect StayFi to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup StayFi with CrewAI

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Collaborative Guest Data Analysis

You don't just run a query; you deploy a crew. One agent researches `list_guests`, another analyzes the results, and a third exports the final data set using `export_guests`. They work together to achieve complex objectives. This allows for role-based specialization. You can assign one agent to handle the messy details of `search_guests` while a moderator agent watches the whole process.

Autonomous Property Auditing with MCP Server

Set up a crew where Agent A calls `get_property`, and Agent B uses `list_devices`. The agents communicate their findings—Agent A passes the property ID to Agent B for context. They build on each other's results. This simulates a real-life team effort, perfect for monitoring large portfolios or complex installations where multiple data points must connect.

Automated Marketing Campaign Setup

You can deploy a crew that first calls `get_email_stats` to check current performance. Then, an agent determines the next steps and uses `list_splash_pages` to recommend changes for better capture rates. The shared memory feature is key here; one agent's findings directly inform the action taken by another agent in the sequence.

Setup guide

Set up StayFi 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 StayFi tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent StayFi 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="StayFi Analyst",
        goal="Access and analyze StayFi data via MCP.",
        backstory="Expert analyst with direct StayFi access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent StayFi 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 StayFi. 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.

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Common questions about StayFi MCP in CrewAI

You assign roles to agents: one agent is the 'Property Manager' who uses `list_properties` to get all locations, and another 'Auditor' who runs diagnostics on each property ID.

Yes. You can build a multi-step process where the agents first search for guests using `search_guests`, then update their records, and finally generate an action report.

You set up a loop: one agent continuously calls `check_stayfi_status` while another acts as the 'Alert Agent,' which sends notifications if connectivity drops below the threshold.

The agents can run a full sequence: first gathering data via `get_analytics`, then having a specialist agent format it, and finally presenting a summarized report to the user.

This server touches guest details and property information. The agents can process these data types while ensuring roles keep sensitive operations isolated.

Use it with your favorite AI tools

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

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