How to Use the Lodgify MCP in Mastra AI

Build resilient, multi-step Lodgify workflows with automated retries using the Mastra AI agent framework.

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Connect Lodgify MCP to Mastra AI

Create your Vinkius account to connect Lodgify to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Lodgify with Mastra AI

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Automated booking verification workflows

When a guest requests a reservation, your Mastra AI agent uses `get_booking` to pull details and verify them against active rates. This MCP Server handles the background checks while your workflow engine manages the execution logic. If the numbers don't match, the workflow branches automatically. Mastra AI holds the booking, alerts your team, and runs `get_quote` to generate an updated price sheet without failing the entire run.

Resilient channel sync checks with Mastra AI

Channel distribution is messy, but your agent uses `list_channels` to monitor connection health across VRBO and Booking.com. This MCP Server keeps your channel data accessible during outages. If a channel drops, Mastra AI uses its built-in retry engine to poll the connection again. By combining this with `list_properties`, the agent pinpoint-checks which properties are affected and logs the sync status automatically.

Fail-safe availability polling

To prevent double-bookings, your agent executes a multi-step workflow that queries `get_availability` across multiple properties. This protects your platform reputation and keeps booking calendars accurate. If the initial API call fails due to rate limits, Mastra AI handles the backoff and retries the request automatically. Your calendar checks remain reliable even during high-traffic booking windows.

Setup guide

Set up Lodgify 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 Lodgify 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: "lodgify-mcp-client",
  servers: {
    "lodgify-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Lodgify 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 Lodgify. 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

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Common questions about Lodgify MCP in Mastra AI

Initialize the MCP client using your Vinkius server URL. Then, fetch the tools using `listTools` and spread them directly into your Mastra AI agent's tool configuration.

Yes, Mastra AI has a built-in workflow engine that manages retries. If a call to `get_rates` or `get_availability` hits an API limit, the framework backs off and retries.

Define a Mastra workflow that connects to the MCP Server to find new entries. The next steps can conditionally run `get_booking` and `get_quote` to verify the payment status before notifying your staff.

Yes, you can configure Mastra AI to pause the workflow after running `get_quote`. The agent waits for manual approval before finalizing the booking details in your system.

Vinkius runs the MCP Server in a zero-trust, ephemeral environment. Your property rates data is encrypted in transit and never persisted on disk, keeping your proprietary business data safe.

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