# Mustard Oil Pungency Predictor AI Agent Connect

> Predicts mustard oil pungency, yield, and economic value using myrosinase hydrolysis modeling.

## Overview
- **Category:** agriculture
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_KFDY5F4Yg6a5Wu4P6u8GoHwNfbJp1v4L92E3v8Wn/ai-agent-connect
- **Tags:** mustard-oil, pungency, agriculture-tech, chemical-modeling, oil-yield

## Description

This MCP server connects AI agents to chemical and economic modeling for mustard oil production. By analyzing seed variety, glucosinolate levels, and moisture, it uses a myrosinase hydrolysis model to predict allyl isothiocyanate (AITC) concentration and the resulting pungency index. It also calculates expected oil yield and evaluates how storage duration impacts precursor stability. Use `get_batch_quality_summary` for a complete report on chemical, physical, and economic metrics of a seed batch.

## Tools

### get_batch_quality_summary
Provides a comprehensive overview of a batch by combining chemical, physical, and economic metrics

### get_economic_and_application_profile
Estimates the commercial value of the oil and suggests the best culinary uses

### get_pungency_prediction
Calculates the primary chemical and sensory pungency metrics for a specific mustard seed batch

### get_yield_and_storage_impact
Determines the total oil yield and evaluates how storage conditions have affected the precursor stability

## Prompt Examples

**Prompt:** 
```
What is the predicted pungency for a brown mustard variety with 5% glucosinolate content and 10% moisture using cold press?
```

**Response:** 
```
The predicted AITC concentration is 12.5 mg/kg with a pungency index of 4500 Scoville units.
```

**Prompt:** 
```
Calculate the oil yield and stability loss for yellow mustard with 8% moisture after 4 weeks of storage.
```

**Response:** 
```
The predicted oil yield is 32% and the precursor stability loss due to storage is 4.2%.
```

**Prompt:** 
```
Give me a full quality summary for oriental mustard, 7% glucosinolate, 12% moisture, heat assisted, stored for 2 weeks.
```

**Response:** 
```
Summary: Predicted AITC is 18.2 mg/kg, Pungency Score is 5200, Expected Yield is 28%, Commercial Value is $450, and Recommended Use is deep frying.
```

## Frequently Asked Questions

**How accurate are the pungency predictions?**
Predictions are based on a myrosinase hydrolysis model that accounts for variety-specific enzyme activity and moisture levels.

**Can I predict the economic value of my oil batch?**
Yes, you can use `get_economic_and_application_profile` to estimate the spice value based on the predicted pungency index and oil yield.

**Does storage duration affect the results?**
Yes, the tool `get_yield_and_storage_impact` specifically models how storage duration reduces precursor stability.