INPE (STAC API) Connector for AI agents.
6 live capabilities
Access Brazil satellite imagery and Earth observation metadata for environmental research.
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Why people use INPE (STAC API)
INPE (STAC API - Satélites) for tracking Brazilian land use changes
With this Connector, you just tell your agent what area and timeframe you care about. It handles the STAC queries and returns a clean list of satellite scenes, letting you skip the clicks and get straight to the analysis.
What Vinkius changes
You get instant access to Brazil's satellite data without writing a single line of API code.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
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.
- Real-world use case 02
Monitoring crop moisture levels
A scientist finds high-resolution Landsat imagery for a specific farm region to study moisture levels.
- Real-world use case 03
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.
Complete set · 6capabilities
The complete INPE (STAC API) capability set.
These are the exact actions your AI can choose when you ask it to work with INPE (STAC API).
01—03
3 capabilities in this set.
Part of 6 available through INPE (STAC API).
- 01 Capability
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.
- 02 Capability
Get collection
Pull back the full metadata and specifications for a specific satellite data collection. Use this to check sensor types and band details.
- 03 Capability
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.
04—06
3 capabilities in this set.
Part of 6 available through INPE (STAC API).
- 04 Capability
Get conformance
Check the STAC conformance classes to see what the catalog supports. This ensures your agent knows the capabilities of the data source.
- 05 Capability
Get root catalog
Retrieve the top-level catalog information for the INPE STAC catalog. This provides the foundation for all other data queries.
- 06 Capability
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.
Set up in minutes
One URL. Then ask INPE (STAC API) to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use INPE (STAC API) from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_xXUzea0yLX51Ob8cT7tCA6FhHe0lk1peaMyBXrEi/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it INPE (STAC API), and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable INPE (STAC API) for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_xXUzea0yLX51Ob8cT7tCA6FhHe0lk1peaMyBXrEi/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the INPE (STAC API) URL.
- Step 03
Save and start
Save the connection and enable INPE (STAC API) in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"inpe-stac-api-satelites": {
"url": "https://edge.vinkius.com/vk_preview_xXUzea0yLX51Ob8cT7tCA6FhHe0lk1peaMyBXrEi/mcp"
}
}
}- Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using INPE (STAC API)
Open Agent mode in chat and ask: "Using INPE (STAC API), help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"inpe-stac-api-satelites": {
"url": "https://edge.vinkius.com/vk_preview_xXUzea0yLX51Ob8cT7tCA6FhHe0lk1peaMyBXrEi/mcp"
}
}
}- Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using INPE (STAC API)
Ask Copilot: "Using INPE (STAC API), help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"inpe-stac-api-satelites": {
"url": "https://edge.vinkius.com/vk_preview_xXUzea0yLX51Ob8cT7tCA6FhHe0lk1peaMyBXrEi/mcp"
}
}
}- Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using INPE (STAC API)
Open Cascade and ask: "Using INPE (STAC API), help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"inpe-stac-api-satelites": {
"url": "https://edge.vinkius.com/vk_preview_xXUzea0yLX51Ob8cT7tCA6FhHe0lk1peaMyBXrEi/mcp"
}
}
}- Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using INPE (STAC API)
Ask Cline: "Using INPE (STAC API), help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add inpe-stac-api-satelites --transport http "https://edge.vinkius.com/vk_preview_xXUzea0yLX51Ob8cT7tCA6FhHe0lk1peaMyBXrEi/mcp"- Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using INPE (STAC API)
Ask Claude: "Using INPE (STAC API), show me...". 6 tools are ready
Where the request belongs
Work INPE (STAC API) can move forward.
This is for researchers and developers who need to move past the headache of manual data fetching to get straight into analyzing Brazilian land use, agriculture, or environmental changes.
Environmental Researcher
Tracking land-use changes and deforestation patterns over time using specific spatial filters.
GIS Developer
Building apps that need to pull real-time satellite metadata for Brazilian regions into a custom interface.
Agricultural Data Scientist
Monitoring crop health and land moisture using high-resolution imagery from the Brazil Data Cube.
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Bring your own AI
Change the model, client or framework. Keep INPE (STAC API) connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
Roo Code -
Zencoder -
Goose -
Void -
Augment Code -
Amp -
Qodo -
Tabnine -
Pieces -
Sourcegraph Cody -
JetBrains -
Warp -
Amazon Q -
Antigravity -
BoltAI -
Raycast -
Jan -
LM Studio -
AnythingLLM -
Open WebUI -
Msty -
Cherry Studio -
LibreChat -
TypingMind -
Chorus -
5ire -
n8n -
LangChain -
LlamaIndex -
CrewAI -
Vercel AI SDK
Before you connect
Questions about INPE (STAC API).
The practical details behind the request, access and result.
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 capability. 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 capability 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 capability 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.
One connection away
Give your agent a direct line to INPE (STAC API).
Connect INPE (STAC API) once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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