How to Use the Netrows MCP in Vercel AI SDK

Stream live flight data directly into your Vercel AI SDK interface. Build responsive aviation dashboards that update in real-time.

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Connect Netrows MCP to Vercel AI SDK

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

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Real-time flight monitoring for Vercel AI SDK

Feed live aviation data straight into your frontend components. When your app calls `track_flight` or `search_flights`, the results stream through your edge functions to provide immediate status updates to your users. Stop waiting for spinners. By integrating this MCP Server, your UI reflects the current aircraft position and flight status as soon as the data hits your backend.

Query aviation metadata for custom dashboards

Fetch detailed aircraft and airport specifications to enrich your app's context. Use `get_aircraft_info` or `get_airport_info` to pull registration data and geographic coordinates into your application state. Your users get precise information about fleet composition and airport layouts. This data provides the backbone for building specialized tracking tools that go beyond basic flight lists.

Manage API usage and budget within your app

Monitor your credit consumption directly from your application logic. The `get_account_usage` tool lets you track how many requests you have burned through, helping you stay within your monthly limits. Avoid surprise overages by building usage alerts into your dashboard. You can programmatically check your balance before triggering large batch operations, ensuring your service remains stable.

Setup guide

Set up Netrows 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 Netrows 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 Netrows 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 Netrows. 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

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

Built-in savings

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lower AI costs

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

Single dashboard

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place for every integration

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Common questions about Netrows MCP in Vercel AI SDK

Install the MCP client package and initialize it with your server URL. Once connected, your agent can access the full suite of aviation tools to handle user requests.

Yes, you can pipe the output of tracking tools directly into your streaming response. This allows your interface to show flight progress as it happens.

The data returns as standard JSON, which maps directly to your frontend state objects. You can parse these results to populate your UI elements without extra transformation steps.

Ensure your environment allows outbound HTTP requests to the server endpoint. The client handles the connection lifecycle, including clean closure of the session.

The server only touches public flight and aircraft telemetry data. Your API credentials stay within your private environment variables, never reaching the client browser.

Use it with your favorite AI tools

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

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