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

Name: INMET (Apitempo - Meteorologia)
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect INMET (Apitempo - Meteorologia) through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The INMET (Apitempo - Meteorologia) MCP Server for Pydantic 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.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to INMET (Apitempo - Meteorologia) "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in INMET (Apitempo - Meteorologia)?"
    )
    print(result.data)

asyncio.run(main())

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 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.

Pydantic AI validates every INMET (Apitempo - Meteorologia) tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI

When Pydantic 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

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 Pydantic AI via MCP

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

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from INMET (Apitempo - Meteorologia) with type-safe schemas

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

Pydantic AI provides unique advantages when paired with INMET (Apitempo - Meteorologia) through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your INMET (Apitempo - Meteorologia) integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your INMET (Apitempo - Meteorologia) connection logic from agent behavior for testable, maintainable code

INMET (Apitempo - Meteorologia) + Pydantic AI Use Cases

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

Type-safe data pipelines: query INMET (Apitempo - Meteorologia) with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple INMET (Apitempo - Meteorologia) tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query INMET (Apitempo - Meteorologia) and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock INMET (Apitempo - Meteorologia) responses and write comprehensive agent tests

Example Prompts for INMET (Apitempo - Meteorologia) in Pydantic AI

Ready-to-use prompts you can give your Pydantic 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

INMET (Apitempo - Meteorologia) + Pydantic AI FAQ

Common questions about integrating INMET (Apitempo - Meteorologia) MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your INMET (Apitempo - Meteorologia) MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.

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