Use AgroMonitoring with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Get actionable data on soil, weather, and crop health.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 17 capabilities
The complete AgroMonitoring capability set.
These are the exact actions your AI can choose when you ask it to work with AgroMonitoring.
01-04
4 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 01
Delete polygon
Removes a polygon from your list of defined areas of interest.
- 02
Get current soil
Retrieves the current soil moisture and temperature data for a specified location.
- 03
Get current weather
Pulls the most recent weather conditions, including temperature and precipitation, for a location.
- 04
Get historical uvi
Provides historical records of the UV Index for planning purposes.
05-08
4 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 05
Get ndvi history
Fetches historical Normalized Difference Vegetation Index (NDVI) and EVI data to track crop growth.
- 06
Get polygon
Retrieves specific information about a single, existing polygon boundary.
- 07
Update polygon
Modifies the details or boundaries of an existing polygon area.
- 08
Create polygon
Establishes a new polygon boundary to mark a specific area of interest on your farm.
09-11
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 09
Get current uvi
Checks the current UV Index to assess immediate environmental risks.
- 10
Get forecast uvi
Predicts the UV Index for upcoming days, helping with planning.
- 11
Get forecast weather
Retrieves predicted weather data, including temperature and precipitation, for the near future.
12-14
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 12
Get historical weather
Accesses past weather records, allowing you to analyze seasonal trends.
- 13
Search imagery
Searches for available satellite imagery based on location and date.
- 14
List polygons
Generates a complete list of all polygons currently registered in your account.
15-17
3 capabilities in this set.
Part of 17 available through AgroMonitoring.
- 15
Get accumulated precipitation
Calculates the total accumulated precipitation over a specified time period.
- 16
Get accumulated temperature
Calculates the total accumulated temperature over a specified time period.
- 17
Get historical soil
Retrieves detailed historical soil data, including moisture and nutrient levels.
Observed, not estimated
949ms average. Fast in production.
AgroMonitoring is checked daily against the live service.
- Fastest day
- 789ms
- Slowest day
- 1173ms
- 14-day trend
- Slowing+9%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 17 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AgroMonitoring, so you can see the experience inside your AI.
It does not authenticate your account with AgroMonitoring. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AgroMonitoring Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AgroMonitoring capabilities are ready to use.
{
"mcpServers": {
"agro-mcp": {
"url": "https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Who it's for
Built for the work AgroMonitoring owners hand off.
This MCP is built for professionals who need deep, reliable environmental data to make farming decisions. Agronomists, farmers, and data scientists rely on this MCP to move beyond guesswork and manage resources with precision.
- 01
Agronomists
Use the MCP to monitor crop health and soil conditions across multiple fields without manual data entry.
- 02
Farmers
Get immediate access to current weather, soil moisture, and temperature metrics to optimize planting and harvesting schedules.
- 03
Data Scientists
Quickly pull historical weather and satellite indices to build models for agricultural yield prediction.
FAQ
Questions AgroMonitoring owners ask.
- 01
Does this MCP handle multiple fields?
Yes. You can list and manage multiple polygons, each representing a different field or area of interest on your property.
- 02
What kind of data can I get about crop health?
You can retrieve NDVI and EVI historical data, which tracks vegetation vigor over time. You can also search for high-resolution satellite imagery for visual confirmation.
- 03
Is the weather data current or historical?
The MCP provides all three: get_current_weather for immediate conditions, get_forecast_weather for predictions, and get_historical_weather for seasonal analysis.
- 04
Do I need to know coordinates to use the MCP?
While some capabilities require coordinates, you can also define and manage areas using polygons, which simplifies targeting specific zones.
- 05
What is the difference between NDVI and EVI?
NDVI and EVI are both indices used to measure vegetation density and health. The MCP provides historical data for both metrics, helping you track changes in plant life.
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