How to Use the StayFi MCP in AutoGen

Q: Can AutoGen help me reconcile guest lists?

Yes. You can set up an agent pair: one calls listguests, and the other uses searchguests. They debate which listing is more accurate or if a third tool, like getguest, needs to be called to resolve discrepancies.

Q: What information about StayFi network infrastructure can AutoGen access?

AutoGen gives agents tools like listnetworks and getnetwork. This lets you simulate a comprehensive audit where different agents check physical assets versus connectivity protocols.

Q: If I need to know the status of multiple devices, how does StayFi and AutoGen handle it?

You can assign an agent to call listdevices for a macro view. Another specialized agent then calls getdevicestatus on specific IDs returned by the first agent, ensuring detailed coverage.

Automate StayFi decision making and debate outcomes using AutoGen.

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Setup StayFi with AutoGen

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Debating Optimal Guest Onboarding Workflows with the MCP Server

Need to decide on a guest onboarding process? Set up an agent group: one for Marketing, one for IT. The Marketing Agent calls `get_email_stats`, and the IT Agent calls `check_stayfi_status`. They then debate the best protocol. The result isn't just data; it’s a consensus decision on which tools to prioritize (e.g., 'First, check connectivity via `get_network`, then send emails using `get_email_stats`').

Automated Network Troubleshooting for AutoGen Agents

Use a multi-agent setup where one agent is the Diagnostician and the other is the Fixer. The Diagnostician calls `list_networks` to identify all potential issues. It then feeds those results to the Fixer, which decides on the next step—maybe calling `get_device_status` for the problematic hardware. This simulation lets you test complex troubleshooting flows without human intervention.

Consensus-Driven Property Reporting with AutoGen

Want a full report? Run three agents: Finance, Operations, and Guest Relations. The Finance agent calls `get_property_stats`. Ops calls `list_properties`. Guest Relations calls `list_guests`. The agents must then debate which metric is most critical for the quarterly review, converging on a single, prioritized executive summary.

Setup guide

Set up StayFi MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes StayFi tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="StayFi_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent StayFi data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="StayFi_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent StayFi data")
    print(result.messages[-1].content)

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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 AutoGen

The system allows agents to break down complex requests. For example, one agent calls `list_properties`, passing the resulting IDs to a second agent that then runs `get_property` for each location sequentially.

Yes. You can set up an agent pair: one calls `list_guests`, and the other uses `search_guests`. They debate which listing is more accurate or if a third tool, like `get_guest`, needs to be called to resolve discrepancies.

AutoGen gives agents tools like `list_networks` and `get_network`. This lets you simulate a comprehensive audit where different agents check physical assets versus connectivity protocols.

You can assign an agent to call `list_devices` for a macro view. Another specialized agent then calls `get_device_status` on specific IDs returned by the first agent, ensuring detailed coverage.

The MCP Server touches various structured data types, including property records (`get_property`) and guest profiles (`search_guests`). The agents negotiate the best way to process and validate these different inputs.

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