StayFi MCP Server for Pydantic AIGive Pydantic AI instant access to 17 tools to Check Stayfi Status, Export Guests, Get Analytics, and more
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect StayFi through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
Ask AI about this App Connector for Pydantic AI
The StayFi app connector for Pydantic AI is a standout in the Marketing Automation category — giving your AI agent 17 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to StayFi "
"(17 tools)."
),
)
result = await agent.run(
"What tools are available in StayFi?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About StayFi MCP Server
Transform your vacation rental network into a powerful marketing engine by connecting your AI agents to StayFi. With 17 dedicated tools, your AI can automatically pull guest contact data, monitor router health, configure splash pages, and analyze email collection rates across your portfolio.
Pydantic AI validates every StayFi tool response against typed schemas, catching data inconsistencies at build time. Connect 17 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Capture and export guest emails and phone numbers
- Manage vacation rental properties and networks
- Configure custom WiFi splash and login pages
- Monitor router health and online status in real-time
- Track email collection and marketing analytics
- Organize and segment guest lists for CRM integration
Who is it for?
Tailor-made for vacation rental managers, boutique hoteliers, and hospitality operators looking to maximize direct bookings through captive portal data collection.The StayFi MCP Server exposes 17 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 17 StayFi tools available for Pydantic AI
When Pydantic AI connects to StayFi through Vinkius, your AI agent gets direct access to every tool listed below — spanning wifi-marketing, guest-capture, email-marketing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Verify connectivity
Export guest data
Get analytics overview
Get device status
Get email collection stats
Get guest details
Get network details
Get property details
Get property stats
Get splash page
List hardware devices
List all guests
List guests by property
List WiFi networks
List properties
List splash pages
Search guests
Connect StayFi to Pydantic AI via MCP
Follow these steps to wire StayFi into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install Pydantic AI
pip install pydantic-aiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.py and run: python agent.pyExplore tools
Why Use Pydantic AI with the StayFi MCP Server
Pydantic AI provides unique advantages when paired with StayFi through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your StayFi integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your StayFi connection logic from agent behavior for testable, maintainable code
StayFi + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the StayFi MCP Server delivers measurable value.
Type-safe data pipelines: query StayFi with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple StayFi tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query StayFi and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock StayFi responses and write comprehensive agent tests
Example Prompts for StayFi in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with StayFi immediately.
"Show all guests captured via WiFi at our beach property this week."
"Are all StayFi routers online and functioning correctly?"
"What is our email collection rate across all properties for the current month?"
Troubleshooting StayFi MCP Server with Pydantic AI
Common issues when connecting StayFi to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiStayFi + Pydantic AI FAQ
Common questions about integrating StayFi MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.