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INMET (Apitempo - Meteorologia) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 8 tools to Get All Forecasts, Get Forecast By City, Get Meteorological Data By Date, and more

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

Ask AI about this MCP Server for Vercel AI SDK

The INMET (Apitempo - Meteorologia) MCP Server for Vercel AI SDK is a standout in the Government Public Data category — giving your AI agent 8 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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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 INMET (Apitempo - Meteorologia), list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
INMET (Apitempo - Meteorologia)
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* 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 INMET (Apitempo - Meteorologia) MCP Server

Connect to the INMET (Instituto Nacional de Meteorologia) API to retrieve comprehensive weather data across Brazil. This server allows AI agents to query a vast network of automatic and manual stations, providing precise atmospheric measurements and forecasts.

The Vercel AI SDK gives every INMET (Apitempo - Meteorologia) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 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

  • Meteorological Stations — List all automatic (T) and manual (M) stations across the Brazilian territory.
  • Historical & Real-time Data — Fetch daily or hourly measurements (temperature, humidity, pressure) for specific station IDs.
  • Regional Analysis — Query data for all stations within specific Brazilian regions (N, NE, CO, SE, S) for a given date.
  • Weather Forecasts — Get detailed forecasts for cities using IBGE codes or retrieve all available forecasts at once.
  • Satellite Imagery — Access the latest GOES-16 satellite metadata and image URLs for visual weather monitoring.

The INMET (Apitempo - Meteorologia) MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 INMET (Apitempo - Meteorologia) tools available for Vercel AI SDK

When Vercel AI SDK connects to INMET (Apitempo - Meteorologia) through Vinkius, your AI agent gets direct access to every tool listed below — spanning meteorology, brazil-weather, weather-forecast, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

get

Get all forecasts on INMET (Apitempo - Meteorologia)

Get weather forecasts for all supported cities

get

Get forecast by city on INMET (Apitempo - Meteorologia)

Get weather forecast for a specific city

get

Get meteorological data by date on INMET (Apitempo - Meteorologia)

Get meteorological data by date for a station

get

Get meteorological data by region on INMET (Apitempo - Meteorologia)

Get meteorological data for all stations in a specific region

get

Get satellite images on INMET (Apitempo - Meteorologia)

Get latest GOES-16 satellite images

get

Get station data daily on INMET (Apitempo - Meteorologia)

Get daily meteorological data for a specific station

get

Get station data hourly on INMET (Apitempo - Meteorologia)

Get hourly data for a specific station and time

list

List stations on INMET (Apitempo - Meteorologia)

List meteorological stations by type

Connect INMET (Apitempo - Meteorologia) to Vercel AI SDK via MCP

Follow these steps to wire INMET (Apitempo - Meteorologia) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 8 tools from INMET (Apitempo - Meteorologia) and passes them to the LLM

Why Use Vercel AI SDK with the INMET (Apitempo - Meteorologia) MCP Server

Vercel AI SDK provides unique advantages when paired with INMET (Apitempo - Meteorologia) 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 INMET (Apitempo - Meteorologia) integration everywhere

03

Built-in streaming UI primitives let you display INMET (Apitempo - Meteorologia) 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

INMET (Apitempo - Meteorologia) + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the INMET (Apitempo - Meteorologia) MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query INMET (Apitempo - Meteorologia) in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate INMET (Apitempo - Meteorologia) tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed INMET (Apitempo - Meteorologia) capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with INMET (Apitempo - Meteorologia) through natural language queries

Example Prompts for INMET (Apitempo - Meteorologia) in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with INMET (Apitempo - Meteorologia) immediately.

01

"List all automatic weather stations in Brazil."

02

"What is the weather forecast for city code 3304557?"

03

"Show me the latest satellite images from GOES-16."

Troubleshooting INMET (Apitempo - Meteorologia) MCP Server with Vercel AI SDK

Common issues when connecting INMET (Apitempo - Meteorologia) to Vercel AI SDK through Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

INMET (Apitempo - Meteorologia) + Vercel AI SDK FAQ

Common questions about integrating INMET (Apitempo - Meteorologia) 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.

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