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Tomorrow.io Extended MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Tomorrow.io Extended through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token. get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Tomorrow.io Extended, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Tomorrow.io Extended
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Tomorrow.io Extended MCP Server

Equip your AI agent with the world's most accurate weather intelligence via Tomorrow.io. This integration provides your agent with real-time access to hyper-local weather conditions, minute-by-minute forecasts, and deep atmospheric data. Your agent can instantly check the current temperature, audit historical trends, and monitor air quality levels without you ever touching a weather app. Whether you are planning logistics or managing outdoor operations, your agent acts as a dedicated meteorologist, ensuring your decisions are always guided by precise environmental data.

The Vercel AI SDK gives every Tomorrow.io Extended tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Realtime Conditions — Access current weather data including temperature, humidity, and wind speed for any location.
  • Forecast Auditing — Retrieve detailed weather forecasts with customizable timesteps (1m, 1h, 1d).
  • Historical Trends — Fetch recent weather history to analyze environmental patterns over the last 24 hours.
  • Air Quality Monitoring — Monitor pollution levels and air quality indices to ensure safe environmental conditions.
  • Weather Alerts — Stay updated on active weather warnings and alerts issued for specific geographic areas.

The Tomorrow.io Extended MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Tomorrow.io Extended to Vercel AI SDK via MCP

Follow these steps to integrate the Tomorrow.io Extended MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 5 tools from Tomorrow.io Extended and passes them to the LLM

Why Use Vercel AI SDK with the Tomorrow.io Extended MCP Server

Vercel AI SDK provides unique advantages when paired with Tomorrow.io Extended through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Tomorrow.io Extended integration everywhere

03

Built-in streaming UI primitives let you display Tomorrow.io Extended tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Tomorrow.io Extended + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Tomorrow.io Extended MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Tomorrow.io Extended in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Tomorrow.io Extended tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Tomorrow.io Extended capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Tomorrow.io Extended through natural language queries

Tomorrow.io Extended MCP Tools for Vercel AI SDK (5)

These 5 tools become available when you connect Tomorrow.io Extended to Vercel AI SDK via MCP:

01

get_air_quality

Get air quality data

02

get_realtime_weather

Get realtime weather data

03

get_recent_history

Get recent weather history

04

get_weather_forecast

Get weather forecast

05

list_weather_alerts

List weather alerts

Example Prompts for Tomorrow.io Extended in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Tomorrow.io Extended immediately.

01

"What's the current weather in London?"

02

"Give me the hourly forecast for San Francisco."

03

"How is the air quality in Beijing today?"

Troubleshooting Tomorrow.io Extended MCP Server with Vercel AI SDK

Common issues when connecting Tomorrow.io Extended to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Tomorrow.io Extended + Vercel AI SDK FAQ

Common questions about integrating Tomorrow.io Extended MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Tomorrow.io Extended to Vercel AI SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.