How to Use the Malaysia Weather MCP in Vercel AI SDK

Q: How do I stream Malaysia Weather data in my Next.js app with the Vercel AI SDK?

Use @ai-sdk/mcp to connect to the server. Pass the tools from mcpClient.tools() into the AI SDK's streamText function. The tool results for forecasts or warnings will stream directly into your React components.

Q: Can I show earthquake alerts on a map in real-time?

Yes. When your agent calls getmalaysiaearthquakes, the AI SDK will stream the coordinates, magnitude, and depth. You can feed this data directly into a mapping library like Mapbox or Leaflet to update the UI live.

Q: What's the best way to handle multiple locations with the Malaysia Weather server and Vercel AI SDK?

Your agent can make parallel calls to getmalaysiaforecast for different locations like "Kuala Lumpur" and "Langkawi". The AI SDK can handle these concurrent streams, letting you populate a dashboard with multiple forecasts at once.

Q: Are the forecasts from MET Malaysia translated?

Yes, the getmalaysiaforecast tool automatically converts Malay meteorological terms to English. The data streamed to your Vercel AI SDK application is ready for an English-speaking audience.

Build live weather dashboards for your Next.js app. Stream real-time Malaysian weather data directly into your UI with the Vercel AI SDK.

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Connect Malaysia Weather MCP to Vercel AI SDK

Create your Vinkius account to connect Malaysia Weather 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 Malaysia Weather with Vercel AI SDK

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Stream Live Weather Warnings

Connect your React or Svelte app to the MET Malaysia feed. When you call `get_malaysia_warnings`, your users won't see a spinner—they'll see official alerts for typhoons or severe thunderstorms appear on their screen word by word. Because the AI SDK streams tool output, you can design UIs that feel alive. An earthquake alert from `get_malaysia_earthquakes` can populate a map with the epicenter and magnitude in real-time, giving your users critical information instantly.

Build Interactive Forecast UIs

Let your users query weather forecasts conversationally. Your agent, powered by the AI SDK, can call `get_malaysia_forecast` for "Penang next Tuesday" and stream the results directly into a component. All the messy parts are handled. The tool automatically translates MET Malaysia's local terms into plain English, so the data you stream into your UI is clean and ready to display. You focus on the frontend, not on data parsing.

A Weather MCP Server for the Edge

This MCP server is built for speed, just like your Vercel-hosted app. Deploying on the edge means your AI client gets weather data with low latency, making the streamed response feel even faster for your users. You get a single endpoint token from Vinkius, and that's it. The AI SDK's `createMCPClient` handles the connection. There's no complex auth to manage, so you can go from `npm install` to streaming weather data in minutes.

Setup guide

Set up Malaysia Weather 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 Malaysia Weather 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 Malaysia Weather 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 MET Malaysia. 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 Malaysia Weather MCP in Vercel AI SDK

Use `@ai-sdk/mcp` to connect to the server. Pass the tools from `mcpClient.tools()` into the AI SDK's `streamText` function. The tool results for forecasts or warnings will stream directly into your React components.

Yes. When your agent calls `get_malaysia_earthquakes`, the AI SDK will stream the coordinates, magnitude, and depth. You can feed this data directly into a mapping library like Mapbox or Leaflet to update the UI live.

Your agent can make parallel calls to `get_malaysia_forecast` for different locations like "Kuala Lumpur" and "Langkawi". The AI SDK can handle these concurrent streams, letting you populate a dashboard with multiple forecasts at once.

Yes, the `get_malaysia_forecast` tool automatically converts Malay meteorological terms to English. The data streamed to your Vercel AI SDK application is ready for an English-speaking audience.

The server only processes your requests for weather information. It doesn't store your query history or any user data. The connection is ephemeral, handling only the specific `weather forecasts`, `severe warnings`, and `earthquake data` you ask for in that session.

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