# Wiagro MCP for AI Agents AI Agent Connect

> Wiagro MCP lets you monitor grain conditions in silobags using your AI agent. Track temperature, humidity, and CO2 levels in real time to prevent spoilage. Get alerts for ruptures or high risk areas and view satellite data to see how external weather impacts your storage. It's built for grain preservation and facility oversight.

## Overview
- **Category:** iot-hardware
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_wR26AXyGs3S24f7SaFnZW7iEVL9XQNk1WzRwJXON/ai-agent-connect
- **Tags:** grain-monitoring, iot-sensors, environmental-tracking, silo-management, quality-control, remote-sensing

## Description

Managing grain storage shouldn't feel like a guessing game. If you're dealing with silobags, you know that a small temperature spike or a slight rise in CO2 can mean the difference between a profitable harvest and a total loss from spoilage. This Connector connects your Wiagro Smart Silobag API directly to your AI agent, turning raw sensor data into actionable insights. Instead of jumping between different dashboards to check every single bag, you can just ask your agent for a status update. It can pull real-time readings on intergranular humidity and temperature, analyze historical trends to spot hot spots before they become problems, and even flag structural damage like tears or holes using satellite data. It takes the manual work out of grain preservation. By using this Connector through the Vinkius catalog, you get a dedicated analyst that knows your facility's layout, tracks your sensor health, and provides quality scores to help you time your marketing decisions perfectly. It's about having eyes on your inventory 24/7 without having to constantly refresh a browser tab. You can move from reactive troubleshooting to proactive management, ensuring your grain stays in peak condition from the moment it enters storage until it leaves for market.

## Tools

### get_alerts
Get a list of active warnings for high temperature, humidity, or CO2 levels. Use this to spot immediate risks in your storage.

### get_co2_history
View historical CO2 trends to spot early signs of biological activity or mold. It helps you identify spoilage before it spreads.

### get_current_readings
Pull live temperature, humidity, and CO2 levels from sensors inside the grain mass. This gives you an instant snapshot of bag conditions.

### get_facility_overview
Get a high-level summary of all monitored silos and silobags for executive reports. It provides a quick look at your entire operation.

### get_humidity_history
Check historical humidity data to identify moisture migration and condensation. Use this to track moisture movement over time.

### get_quality_assessment
Receive a quality score and estimated storage life for a specific silobag. This helps you time your marketing and sales perfectly.

### get_rupture_alerts
See alerts for tears or holes in silobags that could expose grain to the weather. This helps you protect your inventory from structural damage.

### get_satellite_data
View satellite-based environmental data to see how outside weather impacts your storage. It provides context for external risks.

### get_sensor_health
Check battery levels and signal strength for all your deployed IoT sensors. Use this to keep your monitoring network running smoothly.

### get_silobag_details
Get metadata like grain type and fill levels for a specific storage unit. This provides context for your sensor data analysis.

### get_silobags
List all your silobags and conventional silos along with their current status. Use this to see your full inventory at a glance.

### get_temperature_history
Look back at temperature trends to identify hot spots and spoilage heating. It helps you monitor for active biological activity.

## Prompt Examples

**Prompt:** 
```
Are there any problems with my silobags today?
```

**Response:** 
```
Checking your facility alerts... 

**Alert Summary:**
- **Silobag 7:** CO2 level approaching threshold (1450 ppm). 
- **Silobag 2:** High intergranular humidity detected (18%).

**Status:**
- All other silobags are currently within normal parameters.
- No structural ruptures detected via satellite monitoring.

Would you like me to pull the specific sensor readings for Silobag 7?
```

**Prompt:** 
```
What's the quality of the corn in silobag 3?
```

**Response:** 
```
### Silobag 3 Quality Assessment
- **Grain Type:** Corn
- **Quality Score:** 94/100
- **Condition:** Excellent
- **Storage Life:** 4+ months
- **Current Stats:** 
  - Temperature: 22.3°C
  - CO2: 920 ppm
  - Humidity: 14.8%

**Recommendation:** Conditions are stable. No immediate action required.
```

**Prompt:** 
```
Give me a summary of the whole facility.
```

**Response:** 
```
### Facility Overview
Here is the current status of your monitored storage units:

| Unit ID | Grain Type | Fill Level | Status | Quality Score |
| :--- | :--- | :--- | :--- | :--- |
| Silobag 1 | Soybeans | 85% | Good | 91/100 |
| Silobag 2 | Wheat | 90% | Warning | 87/100 |
| Silobag 3 | Corn | 85% | Good | 94/100 |
| Silobag 7 | Sorghum | 75% | Alert | 72/100 |

**Summary:** Most units are healthy, but Silobag 7 requires attention due to rising CO2 levels.
```

## Capabilities

### Get real-time temperature and CO2 readings
Pull live sensor data from specific positions within the grain mass.

### Track historical humidity patterns
Identify moisture migration and condensation trends over time.

### Receive rupture alerts
Get notified of tears or structural damage to your silobags.

### View satellite environmental data
See how external weather factors are affecting your storage conditions.

### Get grain quality scores
Receive AI-powered assessments and storage life predictions.

### Monitor active threshold alerts
Track high temperature, humidity, and CO2 breaches across your facility.

## Use Cases

### Identifying localized hot spots
A farmer notices a temperature jump in Silobag 4. The agent uses get_temperature_history and get_current_readings to see if it's a localized hot spot or a general trend.

### Timing grain sales
A trader needs to know which grain is ready for sale. The agent runs get_quality_assessment on all bags and identifies the ones with the highest scores.

### Weekly facility reporting
A manager needs a weekly report on storage health. The agent pulls a get_facility_overview and summarizes the status of every unit for the board.

### Mapping moisture migration
A consultant needs to advise a client on moisture issues. The agent uses get_humidity_history to map out moisture migration across different bags.

## Benefits

- Stop spoilage before it starts by using get_co2_history to find biological activity early.
- Protect your inventory from weather damage by checking get_rupture_alerts for structural tears.
- Make better selling decisions with get_quality_assessment scores and storage life predictions.
- Reduce manual inspections by getting a get_facility_overview summary of all storage units.
- Maintain your hardware easily by checking get_sensor_health for low batteries or offline status.
- Understand external risks by pulling get_satellite_data to see how weather impacts your storage.

## How It Works

The bottom line is you get a conversational interface for your entire grain storage operation.

1. Subscribe to the Wiagro MCP on the Vinkius Marketplace.
2. Enter your Wiagro API key and base URL from your platform dashboard.
3. Ask your AI client to check silobag conditions, pull histories, or summarize facility status.

## Frequently Asked Questions

**How does the Wiagro MCP help me prevent grain spoilage?**
It monitors critical indicators like CO2 levels and temperature trends. By identifying these spikes early, you can take action to aerate or move grain before spoilage sets in.

**Can I use the Wiagro MCP to see if my silobags are torn?**
Yes. The Connector can pull satellite-based rupture alerts that detect tears, holes, or other structural damage that could expose your grain to weather and pests.

**What kind of data does the Wiagro MCP pull from my sensors?**
It retrieves real-time temperature, intergranular humidity, and CO2 levels from multiple sensor positions throughout the grain mass.

**Can the Wiagro MCP help me decide when to sell my grain?**
It provides AI-powered quality scores and estimated remaining storage life for your inventory, helping you time your marketing decisions based on actual grain condition.

**Does the Wiagro MCP show external weather risks?**
Yes, it can pull satellite-based environmental data to show you the external conditions that might be affecting your silobag storage.

**How do I know if my Wiagro sensors need new batteries?**
You can ask your agent to check sensor health. It will provide the battery levels and signal strength for all your deployed IoT sensors in one list.

**Can I get a bird's-eye view of my entire storage facility?**
Yes, the Connector can generate a comprehensive overview of all monitored silobags and storage units, giving you a high-level summary for reporting.

**Can my AI detect if a silobag has been ruptured or damaged?**
Yes! Use the `get_rupture_alerts` tool to check for satellite-detected silobag ruptures, tears, or structural damage. Wiagro uses satellite imagery analysis to identify breaches in silobag integrity that could expose grain to weather and pests. For a complete picture, combine with `get_alerts` to see temperature, humidity, and CO2 alerts that may indicate secondary effects of a rupture.

**How do I monitor CO2 levels to detect early grain spoilage in silobags?**
Use the `get_co2_history` tool with your silobag ID and a date range (e.g., 30 days) to see CO2 trends over time. Rising CO2 levels indicate biological activity from mold, insects, or grain respiration — often appearing before temperature changes. Combine with `get_current_readings` for real-time CO2 status and `get_alerts` to check for any active CO2 warnings.

**Can I check the health status of sensors in my silobag monitoring system?**
Yes! Use the `get_sensor_health` tool with your silobag ID to check battery levels, signal strength, and operational status of all IoT sensors. This helps you identify sensors that need battery replacement or have gone offline, ensuring continuous monitoring coverage. For a facility-wide view, use `get_facility_overview` to see the overall health of your monitoring system.