INMET (Apitempo - Meteorologia) MCP Server for Mastra AIGive Mastra AI instant access to 8 tools to Get All Forecasts, Get Forecast By City, Get Meteorological Data By Date, and more
GDPR Free for SubscribersMastra AI is a TypeScript-native agent framework built for modern web stacks. Connect INMET (Apitempo - Meteorologia) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
Ask AI about this MCP Server for Mastra AI
The INMET (Apitempo - Meteorologia) MCP Server for Mastra AI is a standout in the Government Public Data category — giving your AI agent 8 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Geminiimport { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"inmet-apitempo-meteorologia": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "INMET (Apitempo - Meteorologia) Agent",
instructions:
"You help users interact with INMET (Apitempo - Meteorologia) " +
"using 8 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with INMET (Apitempo - Meteorologia)?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and INMET (Apitempo - Meteorologia) tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI
When Mastra AI 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 all forecasts on INMET (Apitempo - Meteorologia)
Get weather forecasts for all supported cities
Get forecast by city on INMET (Apitempo - Meteorologia)
Get weather forecast for a specific city
Get meteorological data by date on INMET (Apitempo - Meteorologia)
Get meteorological data by date for a station
Get meteorological data by region on INMET (Apitempo - Meteorologia)
Get meteorological data for all stations in a specific region
Get satellite images on INMET (Apitempo - Meteorologia)
Get latest GOES-16 satellite images
Get station data daily on INMET (Apitempo - Meteorologia)
Get daily meteorological data for a specific station
Get station data hourly on INMET (Apitempo - Meteorologia)
Get hourly data for a specific station and time
List stations on INMET (Apitempo - Meteorologia)
List meteorological stations by type
Connect INMET (Apitempo - Meteorologia) to Mastra AI via MCP
Follow these steps to wire INMET (Apitempo - Meteorologia) into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @mastra/core @mastra/mcp @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the agent
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Mastra AI with the INMET (Apitempo - Meteorologia) MCP Server
Mastra AI provides unique advantages when paired with INMET (Apitempo - Meteorologia) through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add INMET (Apitempo - Meteorologia) without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every INMET (Apitempo - Meteorologia) tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
INMET (Apitempo - Meteorologia) + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the INMET (Apitempo - Meteorologia) MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query INMET (Apitempo - Meteorologia), process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed INMET (Apitempo - Meteorologia) as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query INMET (Apitempo - Meteorologia) on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using INMET (Apitempo - Meteorologia) tools alongside other MCP servers
Example Prompts for INMET (Apitempo - Meteorologia) in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with INMET (Apitempo - Meteorologia) immediately.
"List all automatic weather stations in Brazil."
"What is the weather forecast for city code 3304557?"
"Show me the latest satellite images from GOES-16."
Troubleshooting INMET (Apitempo - Meteorologia) MCP Server with Mastra AI
Common issues when connecting INMET (Apitempo - Meteorologia) to Mastra AI through Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpINMET (Apitempo - Meteorologia) + Mastra AI FAQ
Common questions about integrating INMET (Apitempo - Meteorologia) MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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