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How to Use the Lodgify MCP in Vercel AI SDK

Render live Lodgify booking data directly into your Next.js frontend using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Lodgify MCP to Vercel AI SDK

Create your Vinkius account to connect Lodgify 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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Display live rates in your Vercel AI SDK interface

Your users hate loading spinners, so use `get_rates` and `get_quote` to fetch lodging costs instantly. By passing these tools directly to your streaming text function, the AI calculates lodging costs and spits them onto the screen as they generate. You don't have to wait for a massive payload to resolve before showing the guest their options. The Vercel AI SDK handles the stream, letting the agent fetch property details via `get_property` and render the pricing breakdown block by block.

Instant availability checks on the Edge

Running search operations on the edge requires speed, which is why your agent uses `get_availability` to scan calendar blocks directly from the Lodgify API. This setup bypasses heavy backend middleware and routes the JSON payload straight to your UI components. Because the Vercel AI SDK is built for edge runtimes, you execute these checks globally with minimal latency. The agent quickly cross-references dates and presents open slots to the user without hitting a cold start.

Real-time channel status dashboard

Build a live dashboard that shows where your properties are listed using `list_channels` to pull active OTA connections. This MCP Server handles the connection mapping without requiring custom webhook infrastructure. By combining this with `list_properties`, your Vercel AI SDK app instantly maps active listings on Airbnb or VRBO. The data streams in as a clean list, letting property managers spot connection gaps immediately.

Setup guide

Set up Lodgify 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Lodgify transactions",
});

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

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

Use `createMCPClient` with your Vinkius HTTP endpoint URL. Pass the client tools directly into your `streamText` call to let your agent fetch booking data.
Yes, the Vercel AI SDK handles this by streaming tool outputs directly. When the agent calls `get_booking` or `list_bookings`, the data renders in the UI block-by-block as it arrives.
Absolutely. The server is optimized for low-latency calls, allowing your Vercel AI SDK code to run `get_availability` inside edge runtimes without hitting timeout limits.
The agent invokes `get_quote` with the guest's dates and property ID. The Vercel AI SDK then streams the exact pricing breakdown directly into your chat interface.
Your Lodgify guest booking details are processed entirely in memory within an isolated V8 sandbox. Vinkius never stores your API payloads, routing all data directly between your Vercel AI SDK client and the Lodgify API.

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