How to Use the NOAA Forecast — US Weather Predictions MCP in Vercel AI SDK

Q: How do I get started with NOAA Forecast — US Weather Predictions and the Vercel AI SDK?

Install the @ai-sdk/mcp package and use createMCPClient with your Vinkius endpoint URL. You can then pass the tools from mcpClient.tools() directly to the generateText or streamText functions.

Q: Can I use this MCP Server to show a 10-day forecast in my Next.js app?

The server provides a 7-day forecast via the getforecast tool and a 156-hour (6.5 day) hourly forecast with gethourlyforecast. You'll get detailed daily and hourly data within that range.

Q: What's the difference between getforecast and getgriddata?

getforecast returns a clean, human-readable 7-day forecast with text descriptions. getgriddata provides raw numerical data like temperature or humidity in large arrays, which is better for building charts or running your own analysis.

Q: What data does the NOAA Forecast — US Weather Predictions MCP Server handle for privacy with the Vercel AI SDK?

The server processes the latitude and longitude you provide to fetch weather data. Your Vinkius endpoint is the only connection point, and the server runs in an ephemeral sandbox, so your location queries are not stored.

Stream live NWS weather data into your UI with the Vercel AI SDK. Your users see forecasts build in real-time, not after a loading spinner.

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Connect NOAA Forecast — US Weather Predictions MCP to Vercel AI SDK

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Setup NOAA Forecast — US Weather Predictions with Vercel AI SDK

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Build real-time weather dashboards

Stop showing loading spinners for weather data. Use this MCP Server to stream forecast details directly into your React or Svelte components. Your agent can call `get_hourly_forecast` and your UI will render each hour's temperature and conditions as they arrive from the server. This gives your users an immediate, interactive experience. You can build charts that populate live or tables that fill row by row. It's perfect for creating logistics dashboards, travel planners, or any app where current weather is critical and perceived speed matters.

Get forecasts for any US location

Your agent just needs a latitude and longitude. The `get_point_metadata` tool instantly finds the correct National Weather Service grid point for that spot. No need to manage complex location lookups on your own. Once you have the grid coordinates, you can pull a full 7-day outlook with `get_forecast` or get the raw data arrays using `get_grid_data`. This makes it simple to add precise, location-aware weather features to any application targeting users in the United States.

Access expert meteorologist analysis

Go beyond raw numbers. The `get_forecast_discussion` tool pulls the actual text written by NWS meteorologists for their specific forecast region. This gives you the 'why' behind the forecast, including their confidence levels and reasoning about developing weather patterns. When your AI client gets this context, it can generate much smarter summaries. Instead of just stating the chance of rain, it can explain the atmospheric conditions causing it, straight from the experts. This is the kind of detail that makes an application feel genuinely useful.

Setup guide

Set up NOAA Forecast — US Weather Predictions 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 NOAA Forecast — US Weather Predictions 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 NOAA Forecast — US Weather Predictions transactions",
});

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

Get your connection token →

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Common questions about NOAA Forecast — US Weather Predictions MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and use `createMCPClient` with your Vinkius endpoint URL. You can then pass the tools from `mcpClient.tools()` directly to the `generateText` or `streamText` functions.

The server provides a 7-day forecast via the `get_forecast` tool and a 156-hour (6.5 day) hourly forecast with `get_hourly_forecast`. You'll get detailed daily and hourly data within that range.

No, these tools are built on the US National Weather Service API. They only work for latitude and longitude coordinates within the United States and its territories.

`get_forecast` returns a clean, human-readable 7-day forecast with text descriptions. `get_grid_data` provides raw numerical data like temperature or humidity in large arrays, which is better for building charts or running your own analysis.

The server processes the `latitude` and `longitude` you provide to fetch weather data. Your Vinkius endpoint is the only connection point, and the server runs in an ephemeral sandbox, so your location queries are not stored.

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