LangChainFramework

INMET (Apitempo - Meteorologia) MCP Server

Bring Meteorology
to LangChain

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

Learn how to connect INMET (Apitempo - Meteorologia) to LangChain and start using 8 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Get All ForecastsGet Forecast By CityGet Meteorological Data By DateGet Meteorological Data By RegionGet Satellite ImagesGet Station Data DailyGet Station Data HourlyList Stations

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What is the 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.

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.

How it works

Subscribe to this server
Enter your INMET API Token (if required)
Start querying weather patterns directly from your AI assistant

Who is this for?

Data Scientists & Researchers — analyze climate trends and historical weather patterns in Brazil.
Logistics & Agriculture — monitor local weather conditions and forecasts to optimize operations.
Developers — integrate official Brazilian meteorological data into applications without complex API handling.

Built-in capabilities (8)

get_all_forecasts

Get weather forecasts for all supported cities

get_forecast_by_city

Get weather forecast for a specific city

get_meteorological_data_by_date

Get meteorological data by date for a station

get_meteorological_data_by_region

Get meteorological data for all stations in a specific region

get_satellite_images

Get latest GOES-16 satellite images

get_station_data_daily

Get daily meteorological data for a specific station

get_station_data_hourly

Get hourly data for a specific station and time

list_stations

List meteorological stations by type

Why LangChain?

LangChain's ecosystem of 500+ components combines seamlessly with INMET (Apitempo - Meteorologia) through native MCP adapters. Connect 8 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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The largest ecosystem of integrations, chains, and agents. combine INMET (Apitempo - Meteorologia) MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across INMET (Apitempo - Meteorologia) queries for multi-turn workflows

See it in action

INMET (Apitempo - Meteorologia) in LangChain

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

INMET (Apitempo - Meteorologia) and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect INMET (Apitempo - Meteorologia) to LangChain through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for LangChain →

Enterprise Security

Why teams choose Vinkius for INMET (Apitempo - Meteorologia) in LangChain

The INMET (Apitempo - Meteorologia) 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. All 8 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LangChain only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full INMET (Apitempo - Meteorologia) details →

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

The Vinkius Advantage

How Vinkius secures
INMET (Apitempo - Meteorologia) for LangChain

Every tool call from LangChain to the INMET (Apitempo - Meteorologia) MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

How can I get the weather forecast for a specific city in Brazil?

You can use the get_forecast_by_city tool by providing the city's IBGE code. The agent will return detailed forecast information including temperature and conditions.

Can I access real-time satellite imagery of Brazil?

Yes! Use the get_satellite_images tool to retrieve the latest metadata and URLs for GOES-16 satellite images covering the Brazilian territory.

How do I find the ID of a meteorological station?

Use the list_stations tool with the type 'T' for automatic or 'M' for manual stations. This will provide a list of all stations and their respective IDs.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.