EOSDA Connector for AI agents.
12 live capabilities
Monitor crop health and soil moisture using satellite data.
Waiting for input…
Why people use EOSDA
EOSDA : Stop Guessing About Crop Health and Soil Moisture
This Connector puts all that data into one place. You can ask your agent to compare this year's growth to last year's or find the exact spots in a field that need more water. You get a clear answer in seconds, moving you from I think it is dry to Field 4 needs 20% more water in the north zone.
What Vinkius changes
You get satellite-driven farm intelligence without ever touching a GIS capability.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 5,900+ Connectors
- Real-world use case 01
Identifying yellowing corn
A farm manager notices a patch of yellowing corn.
- Real-world use case 02
Irrigation scheduling
An agronomist wants to know if it is time to irrigate.
- Real-world use case 03
Client reporting
A consultant needs to show a client the best parts of a field.
Complete set · 12capabilities
The complete EOSDA capability set.
These are the exact actions your AI can choose when you ask it to work with EOSDA.
01—04
4 capabilities in this set.
Part of 12 available through EOSDA.
- 01 Capability
Get ndmi timeseries
Get NDMI values over time to monitor crop water stress and irrigation needs.
- 02 Capability
Get evi timeseries
Retrieve EVI data to monitor dense canopies and high-biomass tropical crops.
- 03 Capability
Get fields
List all fields in your account including their boundaries, areas, and current growth stages.
- 04 Capability
Get ndvi timeseries
Get NDVI trends to track overall vegetation health and growth curves across a season.
05—08
4 capabilities in this set.
Part of 12 available through EOSDA.
- 05 Capability
Render index map
Create a visual map of a field with color-coded vegetation index values for reports.
- 06 Capability
Get satellite imagery
Download raw imagery from sources like Sentinel-2 or Landsat for specific dates.
- 07 Capability
Get soil moisture
Check soil moisture at different depths to optimize irrigation timing.
- 08 Capability
Get vegetation index
Calculate specific indices like NDRE or MSAVI to assess different crop health markers.
09—12
4 capabilities in this set.
Part of 12 available through EOSDA.
- 09 Capability
Get weather data
Pull historical weather parameters like temperature and solar radiation dating back to 1979.
- 10 Capability
Get weather forecast
Get 15-day to 7-month weather forecasts for long-term agricultural planning.
- 11 Capability
Get zoning map
Generate production and health zoning maps for variable rate application planning.
- 12 Capability
Create field
Register a new field for satellite monitoring by providing its boundary and crop type.
Set up in minutes
One URL. Then ask EOSDA to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use EOSDA 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_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable EOSDA for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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 URL.
- Step 03
Save and start
Save the connection and enable EOSDA in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"eosda": {
"url": "https://edge.vinkius.com/vk_preview_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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
Open Agent mode in chat and ask: "Using EOSDA, help me...". 12 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"eosda": {
"url": "https://edge.vinkius.com/vk_preview_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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
Ask Copilot: "Using EOSDA, help me...". 12 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"eosda": {
"url": "https://edge.vinkius.com/vk_preview_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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
Open Cascade and ask: "Using EOSDA, help me...". 12 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"eosda": {
"url": "https://edge.vinkius.com/vk_preview_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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
Ask Cline: "Using EOSDA, help me...". 12 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add eosda --transport http "https://edge.vinkius.com/vk_preview_W1riYytnYABpHWpaWtxCVS18WzgQkjJnAYcVAx7d/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
Ask Claude: "Using EOSDA, show me...". 12 tools are ready
Where the request belongs
Work EOSDA can move forward.
This is for the farm manager who needs to see what is happening across hundreds of acres without driving every fence line, or the agronomist who needs to prove why a specific field needs more intervention.
Farm Manager
Plans irrigation and fertilization schedules based on real-time moisture and growth data.
Agronomist
Identifies crop stress early and creates evidence-based reports for clients.
AgriTech Developer
Integrates satellite data into custom farm management platforms for end users.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsEOSDA Agriculture Satellite Data
Precision agriculture satellite intelligence. access NDVI, soil moisture, and crop health via AI.
Farmonaut
Access satellite agriculture data via Farmonaut. monitor crop health with NDVI, weather, soil moisture, crop advisory, and deforestation alerts from any AI agent.
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.
-
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 I use the EOSDA MCP to track my crops from space?
Yes, this Connector connects your AI agent to satellite data so you can monitor crop health, growth trends, and vegetation indices for your entire farm without leaving your desk.
How does the EOSDA MCP help with irrigation?
It pulls real-time soil moisture data at different depths and combines it with 15-day weather forecasts to help you decide exactly when to water your fields.
Can the EOSDA MCP show me historical weather?
Yes, the Connector can access over 20 years of historical weather data, including temperature, rainfall, and solar radiation, to help with long-term planning.
Can I add my own fields to the EOSDA MCP?
You can register new fields by providing their boundaries and crop types. The AI agent will then include them in your satellite monitoring and analysis.
Does the EOSDA MCP help with precision farming?
It is built for precision agriculture. It can generate zoning maps that identify high and low productivity areas for variable rate application of water and fertilizer.
Can I get visual maps of my field health?
Yes, you can ask your agent to render visual maps of your fields with custom color-coded indices to use in reports or for stakeholder meetings.
Can my AI calculate NDVI for my corn field and show me the vegetation health trend over the growing season?
Yes! Use the get_ndvi_timeseries capability with your field ID and the growing season date range (e.g., date_from=2025-04-01, date_to=2025-10-31). This returns NDVI values for each satellite overpass, showing vegetation health progression from planting through harvest. You can also use get_vegetation_index with index=NDVI for point-in-time analysis, or render_index_map to generate a visual color-coded NDVI map of your field.
How do I get weather forecasts and soil moisture data to plan irrigation for my fields?
Use get_weather_forecast with your field ID and forecast_range=15_days or 1_month to get upcoming precipitation and temperature forecasts. Combine this with get_soil_moisture to check current soil moisture levels at root zone depth. Together these capabilities help you determine if and when irrigation is needed. For historical context, use get_weather_data with past dates to understand rainfall patterns and evapotranspiration trends.
Can I generate a zoning map to identify low and high productivity areas within my field?
Yes! Use the get_zoning_map capability with your field ID. You can specify the vegetation index (NDVI is most common), number of zones (3-5 recommended), and date for analysis. The API returns zone boundaries, average index values per zone, area percentages, and management recommendations. This is essential for variable rate application (VRA), precision fertilization, and targeted irrigation planning.
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.
Explore every Connector No credit card required · Free tier available