# Minimum Order Quantity Calculator AI Agent Connect

> Minimum Order Quantity Calculator MCP handles the math behind supply chain fulfillment. It lets your AI client calculate the exact number of packs needed for any order, check for underfill risks, and measure waste ratios. Instead of manual calculations, your agent uses these tools to ensure order accuracy and logistics efficiency based on your specific pack configurations.

## Overview
- **Category:** inventory-management
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_s3UChrFhKPSgPpeiNp9qeYK96ku8tWiO7ZDR8PxP/ai-agent-connect
- **Tags:** logistics, inventory, fulfillment, supply-chain, order-management

## Description

You can stop manually calculating pack counts and waste ratios. This MCP acts as a bridge between your supply chain requests and your standardized pack configurations. When you're managing inventory, your AI agent can use these tools to ensure orders are never under-delivered. You can check if a requested quantity fits within product bounds or if it will result in excessive unused units. It's built to handle the friction between raw quantity requests and the reality of physical pack sizes, making it easier to plan shipments and maintain lean inventory levels.

## Tools

### calculate_underfill_risk
Use this to see if a requested quantity can be met exactly by your standard pack sizes.

### get_pack_efficiency
This tool measures how much waste occurs by comparing unused units to the requested quantity.

### validate_pack_compatibility
This tool checks if a requested quantity falls within the acceptable bounds of a product's pack configuration.

### calculate_required_packs
This tool determines the total number of full packs you need to satisfy a specific quantity request.

## Prompt Examples

**Prompt:** 
```
How many packs of size 12 do I need to fulfill an order of 50 units?
```

**Response:** 
```
You will need 5 packs of 12, providing a total of 60 units, which includes 10 surplus units.
```

**Prompt:** 
```
Is an order of 100 units valid if the minimum is 50 and the maximum is 150?
```

**Response:** 
```
Yes, the order of 100 units is valid as it falls within the allowed range.
```

**Prompt:** 
```
Will an order of 24 units be an exact match for packs of size 6?
```

**Response:** 
```
Yes, 24 is a perfect multiple of 6, so it is an exact match with no remainder.
```

## Capabilities

### Pack Requirement Calculation
Your agent calculates the exact number of packs to fulfill a specific order volume.

### Underfill Risk Assessment
The AI checks if a requested amount matches standard pack sizes to avoid shortages.

### Waste Ratio Measurement
Your agent identifies how many extra units are shipped relative to the order request.

### Order Bound Validation
The AI verifies that requested quantities stay within product-specific pack limits.

## Use Cases

### Fulfillment Planning
Calculate how many full packs to pull from the warehouse to meet a customer's specific unit request.

### Waste Reduction
Analyze order efficiency to see if certain quantities cause too much surplus inventory.

### Order Validation
Ensure a customer's requested amount doesn't violate minimum or maximum pack constraints.

### Inventory Optimization
Use pack efficiency data to adjust standard pack sizes for better alignment with demand.

## Benefits

- Prevents under-delivery by calculating exact pack requirements.
- Identifies waste by measuring unused units in every order.
- Validates order bounds against specific product configurations.
- Reduces manual math errors in fulfillment planning.

## How It Works

Connect the MCP to your client and start running logistics math through your AI agent.

1. Connect your MCP-compatible client to Vinkius.
2. Provide your pack configurations and order quantities to your AI agent.
3. The agent calls the necessary tools to perform the calculations.
4. Receive direct answers regarding pack counts, risks, or efficiency.

## Frequently Asked Questions

**How does this MCP help with inventory fulfillment?**
It allows your AI agent to calculate the exact number of packs required to meet a quantity request, ensuring you don't under-deliver.

**Can I use this with Claude or Cursor?**
Yes, you can connect this MCP to any MCP-compatible client like Claude, Cursor, or Windsurf.

**How do I check for order waste?**
You can use the get_pack_efficiency tool to measure the ratio of unused units to the requested quantity.

**What happens if an order doesn't match my pack size?**
The calculate_underfill_risk tool will identify if a requested quantity can be met exactly or if it will result in a mismatch.

**Does this MCP handle product constraints?**
Yes, the validate_pack_compatibility tool checks if a quantity falls within the allowed bounds of a product's configuration.

**How does the tool handle quantities that don't fit perfectly into packs?**
The `calculate_required_packs` tool uses a fulfill-or-exceed logic, rounding up to the nearest whole pack to ensure the requested quantity is fully met.

**Can I check if an order is within allowed limits?**
Yes, you can use the `validate_pack_compatibility` tool to check if a requested quantity falls within the minimum and maximum bounds defined for a product.

**How is efficiency measured?**
Efficiency is calculated using `get_pack_efficiency`, which provides the ratio of requested units to the total units provided by the required packs.