# Fuel Tank Transfer Reconciler MCP. AI Agent Connect

> Fuel Tank Transfer Reconciler MCP lets your AI client audit fuel inventory by comparing physical supply, internal transfers, and sensor readings. It identifies volumetric variances by cross-referencing consumption against gauge data, making it easy to spot leaks, theft, or measurement errors across your entire tank network.

## Overview
- **Category:** inventory-management
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_KKmKAMRZwSfv6UtqBu8NxLDOe9xBZXLvS7TD1iFI/ai-agent-connect
- **Tags:** fuel, reconciliation, inventory, audit, sensor-data

## Description

You can use this MCP to stop guessing why your fuel levels don't match your records. Instead of manually checking logs, you let your AI agent do the heavy lifting. It pulls data from your sensors and compares it against internal transfers and consumption rates to find exactly where the numbers diverge. 

You can run a full audit on a specific tank to see opening balances, closing balances, and any unexplained variance. If you need a quick status check, you can grab a snapshot of all tanks at once. For deeper investigations, you can pull chronological sensor history or audit every movement between tanks. It turns raw sensor data and transfer logs into a clear picture of your fuel movement and loss.

## Tools

### get_gauge_history
This tool pulls a chronological list of physical sensor readings for a specific tank. Use it to track how fuel levels changed over a set period.

### get_tank_inventory_summary
This tool provides a high-level snapshot of current fuel levels and recent activity across all your tanks. It's your go-to for a quick status check.

### get_tank_reconciliation
This tool calculates a full reconciliation report for a specific tank over a chosen timeframe. It identifies the exact amount of unexplained variance.

### get_transfer_log
This tool retrieves the history of all internal fuel movements between tanks. Use it to audit how fuel is being moved through your system.

## Prompt Examples

**Prompt:** 
```
Can you provide a reconciliation report for tank T-101 from 2024-01-01 to 2024-01-31?
```

**Response:** 
```
The reconciliation report for tank T-101 shows an opening balance of 5,000L, total refuels of 2,000L, total transfers out of 1,500L, and a closing balance of 5,450L, with an unexplained variance of 50L.
```

**Prompt:** 
```
Show me the current fuel levels for all tanks.
```

**Response:** 
```
Currently, Tank T-101 is at 85% capacity (5,100L), Tank T-102 is at 40% capacity (2,000L), and Tank T-103 is at 10% capacity (500L).
```

**Prompt:** 
```
What were the sensor readings for tank T-202 yesterday?
```

**Response:** 
```
Yesterday, tank T-202 recorded the following readings: 10:00 - 4,500L (Density: 0.85), 14:00 - 4,450L (Density: 0.85), and 18:00 - 4,400L (Density: 0.84).
```

## Capabilities

### Variance Detection
Your agent compares sensor data against recorded transfers to find missing fuel.

### Inventory Snapshots
Your agent pulls current levels for every tank in your system simultaneously.

### Movement Auditing
Your agent tracks fuel moving between different tanks via transfer logs.

### Sensor Data Analysis
Your agent retrieves chronological gauge readings to monitor tank behavior.

## Use Cases

### Loss Detection
Identify if a tank has a leak or theft by comparing sensor history to expected consumption.

### End-of-Month Audits
Generate full reconciliation reports for specific time periods to verify inventory accuracy.

### Transfer Verification
Confirm that fuel moved from one tank to another actually arrived as recorded.

### Daily Status Checks
Get a quick summary of all tank capacities to plan refueling or distribution.

## Benefits

- Identifies unexplained volumetric variances between sensors and logs.
- Automates the creation of tank reconciliation reports.
- Provides a single view of all tank levels and recent activity.
- Tracks internal fuel movements to prevent unrecorded transfers.

## How It Works

You connect the MCP to your AI client and start asking questions about your fuel data.

1. Connect your preferred MCP-compatible client to Vinkius.
2. Ask your agent to pull a summary or specific tank data.
3. The agent uses the MCP tools to fetch sensor and transfer data.
4. Your agent analyzes the data to find variances or report on levels.

## Frequently Asked Questions

**How does this MCP find fuel discrepancies?**
It compares physical sensor readings from the gauges against the recorded supply, consumption, and internal transfer logs to find any unexplained variance.

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

**What kind of reports can the AI generate?**
The AI can generate full reconciliation reports for specific tanks, including opening/closing balances and unexplained variances.

**Does this track fuel moving between my own tanks?**
Yes, the get_transfer_log tool allows your agent to audit all internal fuel movements between tanks.

**Can I see historical sensor data?**
Yes, you can use the get_gauge_history tool to get a chronological list of sensor readings for any tank.

**How do I reconcile a specific tank?**
You can use the `get_tank_reconciliation` tool by providing the tank ID and the start and end dates for the period you wish to audit.

**What is unexplained variance?**
Unexplained variance is the difference between the theoretical balance (calculated from refuels, transfers, and burns) and the actual gauge reading at the end of the period.

**Can I see the history of fuel movements?**
Yes, the `get_transfer_log` tool allows you to retrieve a history of internal fuel movements between tanks.