How to Use the Impala MCP in Vercel AI SDK

Stream real-time hotel data into your Vercel AI SDK frontends. Build interfaces that show rates and availability as your agent finds them.

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Connect Impala MCP to Vercel AI SDK

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

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Real-time hotel discovery in AI SDK

Feed live hotel data directly into your streaming UI. Your agent uses `search_hotels` or `search_hotels_by_city` to pull inventory while your React components render the results instantly. Stop waiting for full request cycles. Because the Vercel AI SDK handles streaming output, your users see hotel lists populating as the MCP server returns data.

Instant rate checks for your application

Trigger `get_rates` and `check_availability` to validate bookings without leaving your app logic. It cuts out the middleman and keeps your state synced with global supply. This MCP server provides the raw pricing numbers your frontend needs to show accurate checkout totals. You get precise data without building custom API adapters.

Metadata and review injection

Pull high-quality images and guest feedback using `get_photos` and `get_reviews`. Your interface can display these details exactly when the user asks for more information. It makes your application feel smarter. By calling `get_hotel` in your stream, you provide context that helps users make faster decisions.

Setup guide

Set up Impala 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 Impala 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 Impala transactions",
});

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

Get your connection token →

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Common questions about Impala MCP in Vercel AI SDK

You pass the criteria as arguments to the tool call. The Vercel AI SDK sends these parameters to the MCP server, which returns the specific hotel results you requested.

Yes, but be careful. Since hotel rates change, you should only cache non-volatile details like hotel photos or descriptions.

Yes, the authentication is handled via the Vercel AI SDK's provider setup. You'll pass your credentials through the transport layer to verify your connection.

Your agent will receive an error response from the tool. You should handle this in your UI to show a clean fallback message to the user.

The server uses a zero-trust model. Your data stays scoped to your session, and we never log the specific hotel booking details passing through the connection.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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