How to Use the StayFi MCP in OpenAI Agents SDK
Build reliable property agents with OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect StayFi MCP to OpenAI Agents SDK
Create your Vinkius account to connect StayFi to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.
Key Capabilities
Search Guests using the MCP Server
When a guest arrives, your agent can pinpoint details quickly. Use `search_guests` by name or ID to pull specific records and check their current status. This tool handles multiple criteria. You don't need to run separate searches for every piece of information; the agent manages that complexity for you.
Get Network Status Overview
Check if a property is online and running smoothly before an event. Calling `get_network` returns real-time data on connectivity, showing whether services are up or down. Knowing the network status prevents service interruptions. It's critical for keeping your agent workflows stable across different properties.
Analyze Marketing Performance Data
Track how well StayFi is performing against its goals. The `get_analytics` tool pulls an overview of key metrics, letting you see where marketing efforts are succeeding. This gives your agent the necessary data to make informed decisions about guest retention and email collection strategies.
Set up StayFi MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all StayFi tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives StayFi tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate StayFi tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="StayFi Agent",
instructions="You have access to StayFi tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) 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.
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 StayFi MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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