# Seasonal Produce Distance Comparator AI Agent Connect

> Seasonal Produce Distance Comparator MCP helps you weigh the true cost of moving food. It calculates weighted scores based on transport emissions, storage energy needs, and direct economic costs. Your AI client uses these metrics to rank different shipping scenarios, helping you choose the most sustainable and cost-effective routes for your supply chain.

## Overview
- **Category:** supply-chain
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_FeMIDQLCvGDmeB0Ut8hStSLUL1A1RdohJH1MLshm/ai-agent-connect
- **Tags:** carbon-footprint, produce, logistics, environmental-impact, procurement

## Description

You can now give your AI client the ability to run complex logistics math for food procurement. Instead of guessing which shipping route is greener, you use this MCP to get hard numbers on carbon footprints and energy requirements. It handles the heavy lifting of calculating emission intensities for different transport modes and the energy needed to keep produce at specific temperatures during transit. 

When you have multiple shipping options on the table, you can have your agent rank them all at once based on your specific priorities. This moves your decision-making from gut feeling to data-driven logic. Whether you are looking at rail versus truck or comparing chilled versus ambient storage, the math is consistent and immediate. You get a clear picture of how distance, mode of transport, and temperature control interact to affect your total environmental and economic score.

## Tools

### calculate_transport_emissions
Determines the carbon footprint tied specifically to moving goods from one point to another.

### evaluate_produce_options
Ranks a list of different procurement scenarios based on the priorities you set.

### get_transport_mode_factors
Provides the constant emission intensity factors used for various modes of transport.

### calculate_storage_energy_impact
Calculates the environmental cost of maintaining required temperatures for produce during a shipment.

## Prompt Examples

**Prompt:** 
```
Compare these two apple shipments: Option A is 500kg via truck for 200km with chilled storage. Option B is 500kg via rail for 500km with ambient storage. Which is better for the environment?
```

**Response:** 
```
Option B is the better environmental choice due to the lower emission intensity of rail transport compared to truck, despite the longer distance.
```

**Prompt:** 
```
Calculate the transport emissions for 1000kg of berries moved 1500km by air.
```

**Response:** 
```
The transport emissions for 1000kg of berries over 1500km via air is 45000 carbon equivalent units.
```

**Prompt:** 
```
What is the energy impact for 200kg of frozen produce stored for 48 hours?
```

**Response:** 
```
The energy impact for 200kg of frozen produce over 48 hours is 120 energy score units.
```

## Capabilities

### Emission Calculation
Your agent calculates the carbon footprint for specific shipment legs.

### Storage Impact Analysis
The AI determines the energy cost of maintaining temperature-controlled environments.

### Scenario Ranking
Your client compares multiple procurement routes against your specific goals.

### Transport Mode Data
The MCP provides the necessary emission intensity factors for different transit methods.

## Use Cases

### Route Comparison
Decide between truck and rail by comparing their specific carbon footprints.

### Storage Optimization
Evaluate if the energy cost of chilled storage outweighs the benefits of a shorter route.

### Vendor Selection
Rank different suppliers by their total environmental and economic impact scores.

### Carbon Reporting
Get specific emission numbers for individual shipment legs to support sustainability reports.

## Benefits

- Quantifies transport emissions using specific intensity factors.
- Accounts for the energy required for temperature-controlled transit.
- Ranks multiple procurement scenarios in a single request.
- Provides a weighted score to balance cost and environment.

## How It Works

Connect your client to Vinkius and start running logistics math immediately.

1. Connect your MCP-compatible client to the Vinkius platform.
2. Provide shipment details like weight, distance, and transport mode to your agent.
3. The agent uses the MCP tools to calculate emissions and energy impacts.
4. Review the ranked procurement options or specific impact scores provided by the AI.

## Frequently Asked Questions

**How does this MCP calculate environmental impact?**
It uses weighted scores based on transport emissions, storage energy requirements, and economic costs.

**Can I compare different modes of transport?**
Yes, you can use the tools to compare the carbon footprint of different modes like rail, truck, or air.

**Does it account for refrigerated shipping?**
Yes, the calculate_storage_energy_impact tool specifically calculates the environmental cost of maintaining required temperatures.

**What clients can I use this with?**
You can use this MCP with any compatible client including Claude, Cursor, Windsurf, and VS Code.

**Do I need to host the MCP myself?**
No, Vinkius hosts and manages the MCP for you, so it is ready to use once you connect your client.

**How does the tool calculate the environmental impact?**
The environmental impact is the sum of transport emissions, calculated via `calculate_transport_emissions`, and the energy required for storage, calculated via `calculate_storage_energy_impact`.

**Can I prioritize cost over environmental impact?**
Yes. When using `evaluate_produce_options`, you can assign different weights to environmentalImpact, economicImpact, and logisticalSpeed to influence the final ranking.

**What transport modes are supported?**
The tool supports various modes including sea, rail, truck, van, and air. You can retrieve the specific intensity factors using `get_transport_mode_factors`.