EOSDA Agriculture Satellite Data Connector for AI agents.
6 live capabilities
Monitor crop health and soil moisture using high-resolution satellite imagery.
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Why people use EOSDA Agriculture Satellite Data
EOSDA Agriculture Satellite Data for solving manual field auditing
With this Connector, you just tell your agent what you need to see. It handles the search across Sentinel and Landsat missions, runs the vegetation index calculations, and gives you the results in a clear summary. You go from manual data mining to getting direct answers about your field's health in one conversation.
What Vinkius changes
You get instant access to professional-grade remote sensing data without having to handle the complex data processing yourself.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Identifying dry patches
A farm manager needs to know which 50-acre plot has the lowest moisture.
- Real-world use case 02
Comparing fertilizer results
An agronomist wants to see if a new fertilizer is working.
- Real-world use case 03
Historical research
A researcher needs historical data for a study.
Complete set · 6capabilities
The complete EOSDA Agriculture Satellite Data capability set.
These are the exact actions your AI can choose when you ask it to work with EOSDA Agriculture Satellite Data.
01—03
3 capabilities in this set.
Part of 6 available through EOSDA Agriculture Satellite Data.
- 01 Capability
Get task result
Retrieve the final results of a vegetation index calculation. It provides the processed data and a link to download the results.
- 02 Capability
Search multi dataset
Search across multiple satellite sources at once. This is useful for finding the best available imagery from different missions.
- 03 Capability
Search dataset
Find specific satellite scenes by date and area. It returns scene IDs and cloud cover data for your chosen location.
04—06
3 capabilities in this set.
Part of 6 available through EOSDA Agriculture Satellite Data.
- 04 Capability
Create vegetation task
Start a calculation for indices like NDVI or EVI. It creates a task to process the specific health data for your area.
- 05 Capability
Get available datasets
List all satellite datasets available for use. Use this to see which missions you can search for imagery.
- 06 Capability
Get available indices
See which vegetation indices are currently supported. This helps you choose the right metric for your specific crop needs.
Set up in minutes
One URL. Then ask EOSDA Agriculture Satellite Data to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use EOSDA Agriculture Satellite Data 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_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/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 EOSDA Agriculture Satellite Data, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable EOSDA Agriculture Satellite Data for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/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 EOSDA Agriculture Satellite Data URL.
- Step 03
Save and start
Save the connection and enable EOSDA Agriculture Satellite Data in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"eosda-agriculture-satellite-data": {
"url": "https://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/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 EOSDA Agriculture Satellite Data
Open Agent mode in chat and ask: "Using EOSDA Agriculture Satellite Data, help me...". 6 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"eosda-agriculture-satellite-data": {
"url": "https://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/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 EOSDA Agriculture Satellite Data
Ask Copilot: "Using EOSDA Agriculture Satellite Data, help me...". 6 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"eosda-agriculture-satellite-data": {
"url": "https://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/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 EOSDA Agriculture Satellite Data
Open Cascade and ask: "Using EOSDA Agriculture Satellite Data, help me...". 6 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"eosda-agriculture-satellite-data": {
"url": "https://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/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 EOSDA Agriculture Satellite Data
Ask Cline: "Using EOSDA Agriculture Satellite Data, help me...". 6 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add eosda-agriculture-satellite-data --transport http "https://edge.vinkius.com/vk_preview_rrGWZ0a7lrWCTsP1i9ihxmBjN6xjbO6yVuQ1WOhW/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 EOSDA Agriculture Satellite Data
Ask Claude: "Using EOSDA Agriculture Satellite Data, show me...". 6 tools are ready
Where the request belongs
Work EOSDA can move forward.
This is for the farm manager who needs to see the big picture of crop health across hundreds of acres without driving every mile, and the ag-tech dev building capabilities that need reliable satellite feeds.
Agronomist
Analyzes crop stress and health reports to create precise fertilization plans.
Farm Manager
Monitors field performance and identifies irrigation issues from a dashboard.
Ag-Tech Developer
Builds custom farming apps that require integrated remote sensing data.
Sustainability Officer
Tracks land use changes and vegetation trends for environmental reporting.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsEOSDA
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Farmonaut
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Agro
Monitor agricultural land using satellite imagery, weather data, and soil metrics directly from your AI agent.
OneSoil
Manage agricultural fields, monitor crop health via NDVI, and access hyper-local weather data directly from your AI agent.
Geopard Agriculture
Universal precision agriculture intelligence. monitor fields, crop health, and NDVI via AI.
Sentinel Hub
Access and process satellite imagery from Sentinel, Landsat, and other Earth observation missions through a powerful cloud API.
Bring your own AI
Change the model, client or framework. Keep EOSDA connected.
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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 EOSDA.
The practical details behind the request, access and result.
Can the EOSDA Agriculture Satellite Data MCP show me my crop health?
Yes, it pulls vegetation indices like NDVI which directly show how healthy your crops are. Your agent can summarize these scores to highlight which areas need more attention.
Does this Connector work for all types of farming?
It works for any land where satellite imagery is useful, including row crops, orchards, and large-scale pasture management. It's great for any precision agriculture setup.
Can I search for specific dates and locations?
Yes, you can ask your agent to find imagery for a specific farm or region within a date range. It will filter through the available datasets to find the best matches for you.
How do I get the actual images from the satellite?
The Connector provides download URLs for the scenes it finds. Your agent can give you these links so you can view the high-resolution imagery directly.
Is it possible to check multiple satellites at once?
Yes, it can search across Sentinel-2 and Landsat 8 simultaneously. This is helpful for finding the clearest images when one satellite might be blocked by clouds.
What kind of vegetation indices can I get?
It supports several critical indices like NDVI for health and EVI for biomass. You can choose the one that best fits your specific crop type.
What satellites are covered by this integration?
The server provides access to Sentinel-2 (high resolution), Sentinel-1 (radar), Landsat 8 and 9 (historical and medium res), and MODIS (high temporal resolution).
How do I calculate the NDVI for a specific field?
Use the create_vegetation_task capability. You need to provide the index_type as 'NDVI', the dataset_id (e.g., 'sentinel2'), and the aoi (Area of Interest) coordinates in GeoJSON format.
Is the area of interest (AOI) required for searches?
For general searches, it is optional but highly recommended to narrow down results. For index calculation tasks (create_vegetation_task), the AOI is mandatory to define the target area.
One connection away
Give your agent a direct line to EOSDA.
Connect EOSDA once. Keep it beside 5,900+ managed Connectors when the next task needs more.
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