# Resource Classification System AI Agent Connect

> Classifies mineral resources into JORC or NI 43-101 categories.

## Overview
- **Category:** engineering
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_gqjGpXa5c5WZXTRSQNvBgzwrPbPgCMhTwO1xOhEL/ai-agent-connect
- **Tags:** jorc, ni-43-101, mineral-resource, geological-modeling, mining-compliance

## Description

This MCP server provides professional-grade tools for mineral resource estimation. It allows AI agents to determine resource categories like Measured, Indicated, or Inferred by analyzing geological confidence, drilling density, and data quality. Use `classify_resource` to determine categories, `get_classification_thresholds` to retrieve regulatory benchmarks, `evaluate_data_readiness` to check if datasets are sufficient, and `compare_standards` to analyze differences between JORC and NI 43-101 frameworks.

## Tools

### classify_resource
Determine the resource category based on geological and spatial data

### compare_standards
Highlights the differences in requirements between JORC and NI 43-101

### evaluate_data_readiness
Determines if the current data set is sufficient to attempt a classification

### get_classification_thresholds
Provides benchmark values used to distinguish between resource categories

## Prompt Examples

**Prompt:** 
```
Classify a resource with high geological confidence, 50m drilling density, and excellent data quality.
```

**Response:** 
```
The resource is classified as Measured.
```

**Prompt:** 
```
What are the density limits for the JORC standard?
```

**Response:** 
```
The density limits for JORC are: Measured (0-25m), Indicated (25-50m), and Inferred (50-100m).
```

**Prompt:** 
```
Is my data ready? I have 10 drill holes and excellent data quality.
```

**Response:** 
```
The data is ready for classification with a Low risk level.
```

## Frequently Asked Questions

**Which regulatory standards are supported?**
The system supports the JORC and NI 43-101 international reporting standards.

**How does geological complexity affect classification?**
High geological complexity requires higher drilling density to achieve the same resource category classification.

**Can I check if my data is ready for classification?**
Yes, you can use the `evaluate_data_readiness` tool to determine if your sample count and data quality meet the minimum requirements.