How to Use the Guesty MCP in Vercel AI SDK

Q: What happens during real-time streaming with Guesty tools?

When your AI client decides to call getlistingstats, the MCP tool output is piped directly into your application stream. This lets your frontend render the performance metrics line-by-line as they arrive.

Build live-streaming vacation rental dashboards with the Vercel AI SDK and this Guesty MCP Server.

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Connect Guesty MCP to Vercel AI SDK

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

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Stream Guesty MCP Server data into your React components.

Your users don't want to stare at loading spinners while fetching property details. This integration lets your AI client stream live booking availability directly to your frontend using `get_calendar` and `get_listing`. By feeding these tools straight into your UI components, the interface updates in real-time. You get instant rendering of nightly rates and house rules without writing custom API polling logic.

Build instant chat interfaces for property managers.

Bring guest communication straight into your customer service dashboard. The AI client calls `list_messages` to pull recent threads and displays them as they stream in. By avoiding heavy backend roundtrips, this setup keeps your interface snappy. Operators see incoming questions and historical context immediately, making guest response times much faster.

Feed real-time owner reports to your Next.js frontend.

Investors want to see their numbers without waiting for a monthly PDF. Let your AI client fetch live financial metrics using `get_owner_revenue` and `get_accounting_stats` to build instant charts. Because the Vercel AI SDK handles tool outputs natively, your UI renders gross revenue and net payouts the second the Guesty API responds. It keeps your financial portals fast and responsive.

Setup guide

Set up Guesty 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 Guesty 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 Guesty 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 Guesty. 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

Live

visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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 Guesty MCP in Vercel AI SDK

Install the core package and the MCP plugin first. Initialize the client using the HTTP transport pointing to your Vinkius endpoint, then pass the tools array directly into your text generation functions.

Yes, this setup is lightweight enough to run on the edge. The server handles the heavy lifting, leaving your Edge Functions free to stream responses.

When your AI client decides to call `get_listing_stats`, the MCP tool output is piped directly into your application stream. This lets your frontend render the performance metrics line-by-line as they arrive.

Always call the close method on your client instance when the request lifecycle ends. This prevents socket leaks and keeps your serverless execution environment clean.

Your reservation details and guest histories are protected inside an isolated V8 sandbox on Vinkius. Only authorized requests using your secure endpoint token can access sensitive endpoints like `get_reservation`.

Use it with your favorite AI tools

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