LlamaIndexFramework

INMET (Apitempo - Meteorologia) MCP Server

Bring Meteorology
to LlamaIndex

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 LlamaIndex 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 LlamaIndex?

LlamaIndex agents combine INMET (Apitempo - Meteorologia) tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

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Data-first architecture: LlamaIndex agents combine INMET (Apitempo - Meteorologia) tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain INMET (Apitempo - Meteorologia) tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query INMET (Apitempo - Meteorologia), a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what INMET (Apitempo - Meteorologia) tools were called, what data was returned, and how it influenced the final answer

See it in action

INMET (Apitempo - Meteorologia) in LlamaIndex

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 LlamaIndex 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 LlamaIndex →

Enterprise Security

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

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 LlamaIndex 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 LlamaIndex

Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query INMET (Apitempo - Meteorologia) tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.