How to Use the Cloudbeds MCP in Vercel AI SDK

Q: How does this integration protect guest reservation and payment data?

All transaction details retrieved via listtransactions stay within your Vercel secure environment. This MCP Server runs in an isolated sandbox, meaning guest profiles and financial histories are never cached or exposed to external servers.

Stream real-time Cloudbeds room availability and reservation data directly to your Next.js frontend with Vercel AI SDK.

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Connect Cloudbeds MCP to Vercel AI SDK

Create your Vinkius account to connect Cloudbeds 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 Cloudbeds with Vercel AI SDK

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Live hotel booking feeds via Vercel AI SDK

When your Next.js agent runs `check_availability` and `list_room_types`, the Vercel AI SDK streams those Cloudbeds options straight to the screen as they generate. You build the React frontend, and the Vercel AI SDK handles the plumbing to stream Cloudbeds room rates dynamically without waiting for a full API response payload.

Instant operational dashboards on the Edge

Your Next.js agent uses `get_dashboard` and `get_housekeeping` to pull live Cloudbeds property metrics and room cleaning statuses, pushing them straight to your React components. Running on Vercel Edge Functions means these Cloudbeds updates load fast. You initiate the client with `createMCPClient`, grab the tools, and close the session using `mcpClient.close()` when the paint is done.

Fetch guest ledgers inside your chat interface

The Vercel AI SDK invokes `search_guests` and `list_transactions` to pull up past Cloudbeds stays and outstanding room charges instantly during guest chats. This Cloudbeds MCP Server integration lets you map guest profiles directly to custom React UI cards. The Vercel AI SDK renders transaction lists the millisecond they come back from the hotel database.

Setup guide

Set up Cloudbeds 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 Cloudbeds 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 Cloudbeds transactions",
});

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

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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 Cloudbeds. 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 Cloudbeds MCP in Vercel AI SDK

You pass your credentials using the authProvider block during setup. The MCP client manages the session tokens behind the scenes, so your React app never exposes raw hotel API keys to the browser.

Yes, the setup is lightweight enough for edge runtimes. Just install the core packages and initialize your connection using createMCPClient inside your API routes.

It uses streamText to send tool call updates incrementally. If an agent is scanning booking histories with list_reservations, the UI displays the reservation states as they resolve rather than waiting for the entire list.

Yes. Always call mcpClient.close() once your operations are finished to prevent memory leaks in your serverless functions.

All transaction details retrieved via list_transactions stay within your Vercel secure environment. This MCP Server runs in an isolated sandbox, meaning guest profiles and financial histories are never cached or exposed to external servers.

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