How to Use the Tomorrow.io Plus MCP in Vercel AI SDK

Q: How do I handle complex data types with Tomorrow.io Plus and Vercel AI SDK?

You can use posttimelines to retrieve data for geometries like GeoJSON polygons. The resulting payload streams into your UI, giving the user a complete picture of the weather across that entire shape.

Q: Can Tomorrow.io Plus help me list available alerts with Vercel AI SDK?

Absolutely. Use listalerts to fetch all active warnings for specific areas. The agent streams this list, allowing you to display a running feed of safety information right in your application interface.

Q: Does tomorrow.io plus support listing predefined locations with Vercel AI SDK?

Yes, the tool listlocations lets your agent retrieve all pre-defined areas in your account. This list streams quickly, letting you build location selectors without manual data entry.

Show live weather data streams to users with Vercel AI SDK.

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Connect Tomorrow.io Plus MCP to Vercel AI SDK

Create your Vinkius account to connect Tomorrow.io Plus 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 Tomorrow.io Plus with Vercel AI SDK

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Stream Live Forecasts

When a user asks for the next 48 hours, you call `get_forecast_weather`. Instead of waiting for one big chunk of text, your agent streams the hourly data points directly to the frontend. This makes the whole experience feel instant. The Vercel AI SDK handles this streaming naturally. Users see the weather model populating in real-time as the data arrives, making the AI feel faster and more responsive than a standard API call.

Visualize Weather Maps

Integrating geo-spatial data is simple. Your agent calls `get_map_tile` to pull map images based on location coordinates. This lets you display the weather coverage right in your React component. This mechanism means complex visualizations don't require separate loading states or full page refreshes. The tile streams, and your user sees a working map instantly.

Check Current Conditions Live

Need to know if it's raining right now? Call `get_realtime_weather`. This tool gives you the current conditions for any location immediately. The data streams into your UI, showing exactly what's happening at that moment. It’s perfect for a dashboard where users expect instant status updates. You pass the coordinates, and the live weather payload appears right on screen.

Setup guide

Set up Tomorrow.io Plus 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 Tomorrow.io Plus 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 Tomorrow.io Plus transactions",
});

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

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Common questions about Tomorrow.io Plus MCP in Vercel AI SDK

You can use `post_timelines` to retrieve data for geometries like GeoJSON polygons. The resulting payload streams into your UI, giving the user a complete picture of the weather across that entire shape.

Absolutely. Use `list_alerts` to fetch all active warnings for specific areas. The agent streams this list, allowing you to display a running feed of safety information right in your application interface.

You should use it anytime the end user needs to see data appearing live—like monitoring temperature changes or viewing historical trends using `get_recent_history_weather`.

Yes, the tool `list_locations` lets your agent retrieve all pre-defined areas in your account. This list streams quickly, letting you build location selectors without manual data entry.

This server touches location coordinates and weather condition data (e.g., temperature, precipitationIntensity). The streaming nature means this sensitive information appears only within your controlled user interface.

Use it with your favorite AI tools

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