How to Use the HQBeds MCP in Mastra AI

Q: Is guest payment data secure during automated workflows?

All personal booking details processed by getreservation route through a zero-trust architecture. Every MCP Server connection on Vinkius requires a single endpoint token for authentication, keeping raw credentials out of your application code.

Build resilient hostel management workflows with Mastra AI and this MCP server, handling HQBeds availability, retries, and conditional booking logic.

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Connect HQBeds MCP to Mastra AI

Create your Vinkius account to connect HQBeds 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 HQBeds with Mastra AI

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Perplexity

Automate Complex Reservation Logic

The `create_reservation` tool handles the core booking action inside your Mastra AI workflows. If an initial attempt fails due to invalid data, the framework's built-in workflow engine automatically retries with exponential backoff. You can chain this with conditional branching. If a booking succeeds, the agent moves forward; if the dates are full, it pivots to `list_availability` to find alternative dates for the guest.

Sync Room Inventory Reliably

Calling `list_rooms` pulls the entire property's room catalog into your agent's context. Mastra uses this baseline data to understand exactly what physical spaces exist before attempting to modify any records. When combined with `get_room`, the agent inspects specific bed configurations and capacities. This ensures your automated systems never try to book a ten-person group into a six-bed dorm.

Monitor Property Account Health

Running `get_account` retrieves the core configuration and status of the connected hostel. You can set up a scheduled Mastra workflow that checks this endpoint daily to ensure the property settings remain correct. If the agent detects an issue, it can pause further operations using this MCP connection. To confirm the API itself is responding, it simply fires `check_hqbeds_status` before alerting the system administrator.

Setup guide

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

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

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HQBeds. 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 HQBeds MCP in Mastra AI

Install @mastra/mcp@latest and initialize MCPClient with your Vinkius URL. Call mcpClient.listTools() and spread the results directly into your Agent's tool array.

You can enforce manual reviews before modifying inventory. Enable requireToolApproval on the agent so a manager signs off before it executes the reservation tool.

The framework automatically applies exponential backoff if a tool fails. This prevents rate-limiting issues when checking availability during high-traffic booking windows.

The client auto-detects the transport protocol. It will connect via Streamable HTTP or SSE based on how your Vinkius endpoint is configured.

All personal booking details processed by get_reservation route through a zero-trust architecture. Every MCP Server connection on Vinkius requires a single endpoint token for authentication, keeping raw credentials out of your application code.

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