How to Use the StayFi MCP in Mastra AI

Q: What kind of analytics can I get with StayFi and Mastra AI?

You can build a scheduled job that runs getanalytics daily. If the report fails, it notifies an admin instead of just dropping the data point.

Build complex StayFi workflows that recover from failure using the Mastra AI framework.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect StayFi MCP to Mastra AI

Create your Vinkius account to connect StayFi to Mastra AI — 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 Mastra AI

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Automated Guest Data Retrieval

You can build a sequence: if `list_guests_by_property` returns too many records, the workflow automatically batches and calls `search_guests`. If the search fails, it retries with an exponential backoff. This handles complex data needs gracefully. This agent framework is built for reliability. It knows how to handle failures—like a temporary network outage when calling `get_property`—and tries again until the job gets done.

Multi-Step Network Audits

Set up a workflow that first calls `list_networks`, then loops through each ID, and finally runs `get_network`. If any single network fails the check, the system notifies an admin endpoint while continuing to audit the remaining sites. It's conditional branching built-in. This is perfect for large deployments where you can't afford manual checks. The Mastra AI server manages the state and ensures every step runs or reports exactly why it failed.

Full Property Monitoring with MCP Server

You can build a complete audit job: first, call `get_property` to get metadata; second, use `list_devices` for hardware inventory; and third, run `get_device_status`. The workflow handles these disparate calls in order. Because it supports required tool approval, you can force the workflow to pause before running a costly action, like triggering an upgrade based on `get_property_stats`.

Setup guide

Set up StayFi MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All StayFi tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "stayfi-mcp-client",
  servers: {
    "stayfi-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "StayFi Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to StayFi tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent StayFi transactions"
);
console.log(result.text);

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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 Mastra AI

Yes. You can build complex workflows that search, list, and export guest records automatically. The framework handles the retries if the initial connection fails.

You can set up a permanent monitoring loop that repeatedly calls `check_stayfi_status` and alerts an admin if it falls below acceptable thresholds. This ensures continuous uptime checks.

It handles it perfectly. You write one workflow that iterates over `list_properties` IDs, running all necessary tools for every single location without you having to manage the looping logic.

You can build a scheduled job that runs `get_analytics` daily. If the report fails, it notifies an admin instead of just dropping the data point.

This server touches guest details and network information. The workflow can process and manage these sensitive data types for you.

Use it with your favorite AI tools

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