How to Use the Amenitiz MCP in Mastra AI

Build complex Amenitiz workflows in Mastra AI with automatic retry logic.

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Connect Amenitiz MCP to Mastra AI

Create your Vinkius account to connect Amenitiz 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 Amenitiz with Mastra AI

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Automate booking tasks with Mastra AI

Run multi-step hotel operations by chaining `list_reservations` and `get_reservation` through the Mastra workflow engine. If a connection drops, the framework handles the retry automatically. Focus on the sequence. You define the logic, and the agent executes the steps against your property data.

Manage guest profiles in Mastra AI

Use `list_guests` to feed your CRM agents the data they need to handle inquiries. Mastra triggers these tools based on the conditions you set in your agent file. Keep your processes reliable. The framework ensures that if a tool call fails, your agent knows exactly how to recover.

Audit rate changes with Amenitiz

Monitor price shifts by having your agent call `get_rates` periodically. You can set conditional branches to notify staff if room rates exceed your thresholds. Stay on top of your inventory. This setup makes sure your agents react to market changes without manual input.

Setup guide

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

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

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

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Common questions about Amenitiz MCP in Mastra AI

You add the server URL to your MCPClient config. Once registered, your agents can call Amenitiz tools as part of any workflow.

Yes. Use the requireToolApproval setting to pause your agent before it finalizes any changes to your property settings.

You can loop through your reservation lists using agent steps. It handles the data flow while you focus on the business rules.

Mastra handles the transport layer for you. It keeps the connection alive so your agents don't time out during long tasks.

Your agent runs in an ephemeral sandbox. We restrict data access to your specific endpoint, keeping your guest records encrypted during transit.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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Mastra AI sdk-typescript

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