# INPE (STAC API - Satélites) MCP for AI Agents AI Agent Connect

> INPE (STAC API - Satélites) lets you pull high-resolution satellite imagery from Brazil's National Institute for Space Research directly into your workflow. It connects to the Brazil Data Cube to help you find and query Earth observation metadata for missions like Sentinel-2 and Landsat without manual API hunting.

## Overview
- **Category:** government-public-data
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_xXUzea0yLX51Ob8cT7tCA6FhHe0lk1peaMyBXrEi/ai-agent-connect
- **Tags:** satellite-imagery, stac-api, earth-observation, brazil-data-cube, remote-sensing

## Description

Imagine you're trying to track deforestation or monitor agricultural health across a massive region in Brazil. Usually, that means jumping between different portals, downloading huge files, and wrestling with complex coordinate systems just to see what's happening on the ground. This Connector changes that by letting your agent do the heavy lifting for you. Instead of writing custom scripts to fetch metadata, you just tell your agent what area you're looking at and what time frame matters. It talks directly to the Brazil Data Cube, pulling in the specific scenes you need from the INPE catalog. You can see what's available, check the specifics of a collection, and find the exact assets for your research in seconds. It's a huge time saver for anyone who needs to move from where is the data to here is the data without the friction of traditional GIS workflows. Getting this set up through the Vinkius catalog makes it easy to plug into your existing toolset so you can stay focused on the actual analysis instead of the data fetching.

## Tools

### list_collection_items
Get a list of specific scenes within a collection based on your spatial and temporal needs. This helps you pinpoint exact imagery for a specific area.

### get_collection
Pull back the full metadata and specifications for a specific satellite data collection. Use this to check sensor types and band details.

### list_collections
See every available data collection in the Brazil Data Cube catalog. It's the best way to see what data missions are currently hosted.

### get_conformance
Check the STAC conformance classes to see what the catalog supports. This ensures your agent knows the capabilities of the data source.

### get_root_catalog
Retrieve the top-level catalog information for the INPE STAC catalog. This provides the foundation for all other data queries.

### search_items
Search for specific satellite scenes across all available collections at once. It's the fastest way to find imagery for a specific bounding box.

## Prompt Examples

**Prompt:** 
```
Can you find some Sentinel-2 imagery for a region in the Amazon from last year?
```

**Response:** 
```
I've searched the Brazil Data Cube for Sentinel-2 scenes in that region for 2023. I found 14 relevant items. 

Would you like me to list the specific dates and asset links for these?
```

**Prompt:** 
```
What kind of data is in the CBERS4-WFI-16D-2 collection?
```

**Response:** 
```
The **CBERS4-WFI-16D-2** collection contains:

*   **Sensor:** CBERS-4 WFI
*   **Type:** 16-day surface reflectance composite
*   **Coverage:** 2014 to present
*   **Bands:** Blue, Green, Red, NIR

Would you like to see the most recent items from this set?
```

**Prompt:** 
```
Search for any imagery covering these coordinates: -48, -16 to -47, -15 from 2023.
```

**Response:** 
```
I've pulled the following scenes for those coordinates in 2023:

| Collection | Date | Asset Link |
| :--- | :--- | :--- |
| S2-16D-2 | 2023-05-12 | [Link] |
| S2-16D-2 | 2023-06-10 | [Link] |
| LANDSAT-8 | 2023-05-20 | [Link] |

Let me know if you need more.
```

## Capabilities

### Browse satellite collections
See all available data sets from missions like Sentinel and Landsat.

### Find specific scenes
Filter imagery by bounding box and date range.

### Get collection metadata
Pull detailed specs for specific data products.

### Search across multiple sets
Find items across different collections simultaneously.

### Check catalog status
Verify the conformance and root status of the STAC catalog.

## Use Cases

### Tracking deforestation in the Amazon
An analyst asks for all Sentinel-2 scenes over a specific region from last month to check for new clearing. The agent pulls the list of assets instantly.

### Monitoring crop moisture levels
A scientist finds high-resolution Landsat imagery for a specific farm region to study moisture levels. They use the agent to filter by date and coordinates.

### Mapping urban expansion
A developer pulls a history of surface reflectance composites to map how a city's footprint has grown over a decade using the Brazil Data Cube.

### Rapid flood damage assessment
A researcher quickly identifies the most recent imagery from a specific area to assess flood damage after a heavy rain event.

## Benefits

- Skip the manual API hunting. Use `search_items` to find specific imagery across multiple collections in one go, saving hours of manual filtering.
- Get instant metadata. Use `get_collection` to see the exact specs of a dataset, like bands and resolution, without leaving your chat.
- Precise spatial filtering. Use `list_collection_items` to pull scenes for a specific bounding box, making it easy to target exact regions.
- Full catalog awareness. Use `list_collections` to see the entire scope of the Brazil Data Cube so you know what's actually available.
- Faster research cycles. By querying the INPE catalog through your agent, you move from identifying a problem to having data in hand much faster.

## How It Works

The bottom line is you get instant access to Brazil's satellite data without writing a single line of API code.

1. Connect the Connector to your client and provide your Brazil Data Cube access key.
2. Ask your agent to search for specific regions or dates.
3. Get back a list of relevant satellite scenes and metadata links.

## Frequently Asked Questions

**Does INPE (STAC API - Satélites) work for all of Brazil?**
Yes, it provides access to the Brazil Data Cube, which covers the entire country with high-resolution imagery from various missions.

**Can I use this for deforestation tracking?**
That's a primary use case. You can query specific regions over time to monitor land-use changes and identify new clearing.

**What kind of satellites are included?**
It includes data from missions like Sentinel, Landsat, and CBERS, providing a variety of sensors and resolutions.

**Do I need to write code to use this?**
No, the Connector lets your agent handle the technical requests. You just describe the area and time frame in plain English.

**Is this only for researchers?**
While it's great for scientists, it's also useful for GIS developers and agricultural analysts who need reliable satellite metadata.

**How do I get my access key?**
You'll need to get your Brazil Data Cube access key from the official INPE website to connect this Connector.

**How can I see what types of satellite data are available?**
Use the `list_collections` tool. It will return a list of all available datasets in the INPE Brazil Data Cube, such as CBERS-4, Sentinel-2, and various synthesized data cubes.

**Can I search for specific images using geographic coordinates?**
Yes! Use the `search_items` tool and provide a `bbox` (bounding box) string in the format '[minx, miny, maxx, maxy]'. This allows you to find all satellite scenes covering your area of interest.

**How do I get the technical metadata for a specific collection?**
Use the `get_collection` tool with the specific `collection_id` (e.g., 'CBERS4-WFI-16D-2'). It will provide detailed information about the spatial extent, temporal interval, and available assets for that collection.