How to Use the Weatherbit MCP in Vercel AI SDK

Q: What data does Weatherbit provide for Vercel AI SDK?

It gives you everything: current conditions by city name (getcurrentweatherbycity), 16-day forecasts, and detailed air quality scores. The data covers temperature, wind, UV index, and pollutant levels.

Q: Can I check severe weather alerts using Weatherbit and Vercel AI SDK?

Yes. You call getweatheralerts to get real-time warnings, including the alert type, severity, description, and when it expires. This is essential for mission-critical user interfaces.

Real-time weather data streaming right into your React, Next.js, or Svelte UI with Vercel AI SDK.

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Connect Weatherbit MCP to Vercel AI SDK

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

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Displaying Live Weather Data via MCP Server

Your agent calls `get_current_weather` to fetch real-time data points like temperature, humidity, and wind speed. You can stream these results directly into the UI as they arrive, skipping the loading spinner and making the experience feel instant. Because this is an Edge Function compatible SDK, you don't need a complex backend setup just to display current conditions. It handles fetching data by coordinates or city name right where your client code lives.

Accessing Historical Weather Data with AI SDK

Need to show users how temperature has changed over the last few decades? Use `get_historical_weather` to fetch metrics spanning up to 30 years for a given coordinate. This is perfect for data visualization components. You get specific readings like past precipitation, wind speed, and humidity levels. The SDK handles making these complex historical calls so your frontend just needs to render the resulting time series.

Monitoring Air Quality Scores with AI SDK

The `get_air_quality` tool lets you provide an immediate health score (AQI) and specific pollutant concentrations like PM2.5, O3, and CO. This data is critical for showing users if they need to take precautions. When streaming this, your UI updates the AQI badge instantly, pairing real-time air quality metrics with current temperature readings from `get_current_weather`. It's clean, fast, and highly visible.

Setup guide

Set up Weatherbit 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 Weatherbit 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 Weatherbit transactions",
});

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

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

You pass the MCP Server connection details to your client setup. When your user asks for weather, your agent calls the tool via `mcpClient.tools()` and streams the data straight into the UI.

It gives you everything: current conditions by city name (`get_current_weather_by_city`), 16-day forecasts, and detailed air quality scores. The data covers temperature, wind, UV index, and pollutant levels.

Yes. You call `get_weather_alerts` to get real-time warnings, including the alert type, severity, description, and when it expires. This is essential for mission-critical user interfaces.

The server primarily touches geographic coordinates and general weather metrics (temperature, wind speed). Since you are calling the tool via your client's secure endpoint token, the connection remains isolated.

Absolutely. That’s its core strength. You get streaming results for tools like `get_forecast_hourly`, meaning users see hourly temperature changes updating live, not after a fixed delay.

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