How to Use the Ezus MCP in Vercel AI SDK

Connect Ezus to your AI-SDK project to stream live travel data directly into your user interface.

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Connect Ezus MCP to Vercel AI SDK

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

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Real-time Ezus data streams for AI-SDK

Feed live travel records straight into your frontend components. When your agent fetches data via `get_project` or `list_clients`, the results appear instantly without those annoying loading spinners. Your users see their trip details populate the screen as the agent works. It turns static dashboards into live, reactive interfaces.

Manage Ezus projects with AI-SDK

Trigger `upsert_project` directly from your edge functions to update travel itineraries on the fly. This keeps your database current without manual intervention. Handle complex booking updates securely. By piping tool output through your app logic, you ensure every change stays consistent.

Financial lookups via AI-SDK

Query `list_invoices` or `get_invoice` to display billing status in your customer portal. The AI-SDK handles the data flow, keeping your UI in sync with your back-office records. It removes the gap between your bookkeeping and the customer experience. You get a clean, data-driven view of every transaction.

Setup guide

Set up Ezus 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 Ezus 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 Ezus 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 Ezus. 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.

Connect Ezus now

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 Ezus MCP in Vercel AI SDK

Install the required packages and use the createMCPClient method. Point it at your Vinkius endpoint, and your tools will be ready to pass into generateText.

Yes. The transport is optimized for low-latency calls, making it perfect for serverless environments. It stays fast even under heavy load.

Your credentials never hit the client-side browser. All communication happens between your server-side environment and the Vinkius sandbox.

Wrap your tool calls in standard try-catch blocks. Check the response schema to ensure your agent handles unexpected API states gracefully.

It accesses your travel agency's project files, client profiles, supplier lists, and invoice records. This is sensitive financial and personal info, so keep your endpoint token private.

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