How to Use the HQBeds MCP in Vercel AI SDK

Q: How do I check if the connection is active?

Run the checkhqbedsstatus tool before executing larger workflows. It pings the API and returns the current connectivity state.

Stream live hostel availability and guest reservations directly into your Next.js frontends with the HQBeds MCP server for Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Connect HQBeds MCP to Vercel AI SDK

Create your Vinkius account to connect HQBeds to Vercel AI SDK 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 Vercel AI SDK

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Stream Live Availability to Guests

Calling `list_availability` fetches real-time room inventory based on ISO 8601 date ranges. Your Vercel AI SDK client streams this data directly into a React component as it arrives over the network. Guests see available dorms and private rooms instantly, without waiting for a loading spinner. The UI updates the moment the physical inventory matches their search criteria.

Build Conversational Booking Flows

Executing `create_reservation` pushes a new booking directly into the HQBeds system. You can connect this to a chat interface where the agent confirms dates, captures details, and finalizes the reservation live. Once the booking registers, the agent triggers `get_reservation` to pull the confirmation number. Vercel's streaming architecture ensures the user sees their booking receipt render on screen immediately.

Render Guest Profiles on the Edge

Using `get_guest` retrieves specific customer records, past stays, and preferences. Support dashboards built with Next.js can use this MCP integration to populate customer data the second a chat session begins. Front desk staff don't have to switch tabs to look up a name. The AI client calls `list_guests` in the background and surfaces the relevant profile right inside your custom support portal.

Setup guide

Set up HQBeds MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all HQBeds tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent HQBeds transactions",
});

console.log(text);
await mcpClient.close();

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about HQBeds MCP in Vercel AI SDK

Install @ai-sdk/mcp and instantiate createMCPClient. Pass the HTTP transport URL pointing to your Vinkius endpoint, then feed mcpClient.tools() into streamText.

Yes, the SDK streams tool results directly to the UI. When the agent calls list_reservations, the booking data appears in your React frontend chunk by chunk.

Edge deployment is fully supported. You just need to ensure your AI client closes the connection via mcpClient.close() after the response finishes.

Run the check_hqbeds_status tool before executing larger workflows. It pings the API and returns the current connectivity state.

Names, contact details, and booking histories pulled via get_guest run through the Vinkius V8 Isolate Sandbox. The environment is completely ephemeral, meaning guest data disappears from memory the moment your API call completes.

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