# Agro MCP for AI Agents AI Agent Connect

> Agro MCP for AI Agents. Monitor agricultural land using satellite imagery, weather data, and soil metrics directly from your AI agent. It handles the heavy lifting of fetching crop health indices like NDVI and EVI, letting you monitor large-scale farming operations without switching between multiple dashboards. It's built for precision agriculture where data-driven decisions on irrigation and crop management are non-negotiable.

## Overview
- **Category:** data-analytics
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_Cke6yFspqmSysQC3GltzC663AYTMlYX4QDMubjFx/ai-agent-connect
- **Tags:** ndvi, satellite-imagery, precision-agriculture, soil-moisture, weather-data

## Description

Managing a farm or a large-scale agricultural operation usually means juggling dozens of tabs to check the weather, look at satellite photos, and monitor soil health. This Connector changes that by letting your AI agent do the digging for you. Instead of manually searching for a specific field's moisture levels or trying to interpret complex satellite data, you can just ask your agent for a status update on a specific area. It pulls in high-resolution imagery and historical crop indices to show you exactly how your plants are doing. You can also get precise weather forecasts and UV tracking to plan your next move with confidence. Because Vinkius hosts this Connector, you can get these capabilities running in your preferred AI client in minutes. It turns your agent into a field scout that knows the temperature, the moisture, and the growth progress of every acre you own. You no longer have to worry about missing a critical shift in soil temperature or a spike in UV radiation that could harm your workers. By centralizing this data, you get a clear picture of your land's health without the headache of manual data entry. It's about having the right information at the right time so you can make better decisions on irrigation, fertilization, and crop management.

## Tools

### delete_polygon
Remove a specific area of interest from your records. This keeps your list of fields clean and organized.

### get_current_soil
Get the current moisture and temperature for the soil. Use this to decide if you need to water your crops.

### get_current_weather
Pull the latest weather data for a specific location. Use this to check current conditions for your fields.

### get_historical_uvi
Retrieve historical UV index records. This helps you track seasonal sun intensity.

### get_historical_weather
Pull past weather data for a specific location. Use this to compare current seasons to previous years.

### get_ndvi_history
Retrieve historical NDVI and EVI crop health indices. Use this to track growth progress over time.

### get_polygon
Fetch the details and info for a single polygon. Use this to see the specific data for one field.

### search_imagery
Find available satellite imagery for a specific area. Use this to get a bird's eye view of your land.

### update_polygon
Modify the details of an existing area of interest. Use this to fix or change your field boundaries.

### list_polygons
Show a list of all your registered field polygons. Use this to see every area you are currently monitoring.

### get_current_uvi
Provide the current UV index for a given area. This helps you monitor sun exposure for workers and crops.

### create_polygon
Define a new area of interest for monitoring. Use this to map out new fields or experimental plots.

### get_accumulated_precipitation
Retrieve total rainfall data for a specific period. This is useful for tracking irrigation needs.

### get_accumulated_temperature
Get the total temperature accumulation for a region. Use this to monitor heat levels over time.

### get_forecast_uvi
Provide the predicted UV index for upcoming days. Use this to plan safe outdoor work windows.

### get_forecast_weather
Fetch upcoming weather forecasts for a location. This helps you prepare for upcoming weather changes.

### get_historical_soil
Pull past soil moisture and temperature data. Use this to analyze long-term soil trends.

## Prompt Examples

**Prompt:** 
```
Can you check the moisture levels for my North Corn Field?
```

**Response:** 
```
Checking soil conditions for the North Corn Field...

| Metric | Value |
| :--- | :--- |
| **Soil Moisture** | 0.28 m3/m3 |
| **Surface Temp** | 22.4°C (72.3°F) |

Based on these levels, the soil is currently at a moderate moisture level. You may want to check if this aligns with your irrigation schedule.
```

**Prompt:** 
```
What's the NDVI history for the vineyard over the last month?
```

**Response:** 
```
Fetching NDVI data for the vineyard...

Over the last 30 days, the average NDVI for the vineyard has shown a steady increase:
* **Start of Month:** 0.65
* **Current Average:** 0.78

This indicates healthy growth across the majority of the plot. I found 4 data points from Sentinel-2 to support this trend.
```

**Prompt:** 
```
Give me a weather and UV forecast for the experimental plot for tomorrow.
```

**Response:** 
```
Checking forecast for the experimental plot...

**Forecast for Tomorrow:**
* **Weather:** Partly cloudy with a high of 26°C.
* **UV Index:** 7 (High)
* **Precipitation:** 0% chance of rain.

Note: The UV index is quite high tomorrow, so you might want to schedule heavy outdoor work for the early morning or late afternoon.
```

## Capabilities

### Track crop health via NDVI/EVI history
Pull historical crop health indices to see how your plants are growing over time.

### Create and manage field boundaries using polygons
Define specific areas of interest for consistent monitoring of different plots.

### Fetch real-time soil moisture and temperature
Get current ground conditions to decide if you need to start irrigation.

### Get hyper-local weather forecasts and history
Access precise weather data for your specific location to plan your daily work.

### Monitor UV index levels for field management
Track sun intensity to keep your workers safe and your crops healthy.

### Search for available satellite imagery
Find and retrieve high-resolution satellite photos of your land on demand.

## Use Cases

### Checking Irrigation Needs
A farmer asks the agent if they need to water the north field based on current moisture and tomorrow's forecast.

### Crop Health Audit
An agronomist asks for the NDVI history of a vineyard to see where growth is lagging.

### Weather Planning
A farm manager asks for the UV index and temperature for the next three days to schedule outdoor work.

### Boundary Mapping
A land developer uses the agent to create and list polygons for new experimental plots.

## Benefits

- Stop manual data entry by using create_polygon to map your fields once and access them forever.
- Make faster irrigation decisions by pulling real-time moisture with get_current_soil.
- Track long-term growth trends by analyzing historical crop health with get_ndvi_history.
- Plan your workdays better by checking upcoming conditions with get_forecast_weather.
- Protect workers and crops from extreme sun by monitoring the UV index with get_current_uvi.
- Analyze historical climate patterns for better planning using get_historical_weather.

## How It Works

The bottom line is you get a direct line to field-level environmental data without leaving your chat interface.

1. Subscribe to the Agro MCP on Vinkius.
2. Add your AgroMonitoring API key to the configuration.
3. Ask your AI client to pull data for specific fields or weather zones.

## Frequently Asked Questions

**Can I use the Agro MCP to monitor specific areas of my farm?**
Yes, you can define specific polygons for different fields or plots. This allows your agent to give you precise data for each unique area of your land.

**Does the Agro MCP provide satellite imagery?**
Yes, it can search for and retrieve available satellite imagery. This helps you get a bird's eye view of your land's health and layout.

**How does the Agro MCP help with irrigation?**
It pulls real-time soil moisture and temperature data for your fields. This allows you to decide exactly when and where to water your crops based on actual ground conditions.

**Can I see historical data with the Agro MCP?**
Yes, it provides historical records for weather, soil moisture, and UV intensity. You can use this to compare current conditions against past seasons.

**Is the Agro MCP good for large-scale farming?**
Yes, it is designed for precision agriculture. It helps manage large areas by providing field-level metrics that are usually hard to track manually.

**Can I manage my field boundaries using the Agro MCP?**
Yes, you can create, list, and update polygons. This makes it easy to organize your land into distinct, manageable areas for your AI agent to monitor.

**How do I define a new field for monitoring?**
Use the `create_polygon` tool. You need to provide a name and the area's geometry in GeoJSON format (coordinates). This polygon ID will then be used for satellite and soil queries.

**Can I check the historical health of my crops?**
Yes! Use the `get_ndvi_history` tool with your Polygon ID and a time range. It returns NDVI and EVI data, which are key indicators of vegetation vigor and growth.

**What kind of soil data can I retrieve?**
You can use `get_current_soil` or `get_historical_soil` to get moisture levels and surface temperature for a specific polygon, helping you optimize irrigation schedules.