# Commodity Selection Index Calculator MCP for AI Agents AI Agent Connect

> Commodity Selection Index Calculator MCP identifies momentum-driven trends by calculating the ratio of price momentum to volatility. It provides a deterministic way to spot clean price trends and overbought or oversold conditions in commodity markets using normalized index values.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_jMsiZ5ZeqFUln6FsK7DDDAqhliK4Jy4i9BM7fe7A/ai-agent-connect
- **Tags:** commodity, momentum, volatility, atr, csi

## Description

Trading commodities requires a clear view of how much price movement is actually backed by strength versus how much is just noise. This MCP gives your AI client a mathematical engine to calculate the Commodity Selection Index, which isolates true momentum by weighing it against volatility. Instead of guessing if a price spike is a real trend or just a volatile wobble, you can use this to get a normalized view of market strength. You can generate full time-series data to see how trends have developed over time or ask for specific signals to identify when a market is becoming overextended. It even includes a way to check your price data for mathematical errors before you run any calculations, so you don't waste time on broken inputs. By connecting this to your workflow through the Vinkius catalog, you turn your agent into a specialized quantitative analyst that can interpret market conditions with precision.

## Tools

### calculate_csi_series
Generates a complete time-series of normalized Commodity Selection Index values. This helps you visualize momentum trends over a specific period.

### get_csi_signals
Converts a specific index value into a qualitative signal. It tells you if a market condition is overbought or oversold.

### validate_market_data
Checks your price arrays for mathematical consistency. It prevents errors by ensuring high prices aren't lower than low prices.

## Prompt Examples

**Prompt:** 
```
Can you calculate the CSI series for these prices: High [105, 106, 107], Low [100, 101, 102], Close [102, 104, 106]?
```

**Response:** 
```
The CSI time-series for the provided prices is:

| Period | CSI Value |
| :--- | :--- |
| 1 | **45.2** |
| 2 | **52.8** |
| 3 | **58.1** |

The trend shows increasing momentum relative to volatility.
```

**Prompt:** 
```
What is the signal for a CSI value of 85?
```

**Response:** 
```
A CSI value of **85** triggers an **Overbought** signal.

**Details:**
* **Condition:** Extreme Momentum
* **Interpretation:** The current price momentum is extremely high relative to the recent volatility, suggesting the trend may be reaching an exhaustion point.
```

**Prompt:** 
```
Is this market data valid? High [10, 11], Low [12, 10], Close [11, 10.5]
```

**Response:** 
```
No, the market data is **invalid**.

**Error Found:**
* At index 0, the **High price (10)** cannot be lower than the **Low price (12)**. Please correct the data before attempting further calculations.
```

## Capabilities

### Generate momentum time-series
Produces a full sequence of normalized index values to track trend strength over time.

### Identify overbought and oversold signals
Translates specific index levels into qualitative trading signals based on momentum extremes.

### Verify price data integrity
Checks that your high, low, and close price arrays are mathematically valid before processing.

### Isolate trend strength from noise
Calculates the ratio of momentum to volatility to find clean price movements.

## Use Cases

### Spotting breakout exhaustion
A trader notices a sharp rise in corn prices and asks their agent to check the CSI signal to see if the move is overextended.

### Backtesting momentum strategies
An analyst provides historical price data to generate a long-term CSI series to test how momentum has behaved in different cycles.

### Cleaning messy data feeds
A developer uses the validation tool to ensure a new data provider's price feeds don't contain impossible high/low spreads.

### Comparing commodity strength
A portfolio manager compares the normalized CSI values of gold versus silver to see which has cleaner momentum.

## Benefits

- Eliminate manual math by letting your agent calculate the full CSI time-series instantly using calculate_csi_series.
- Avoid bad trades by using get_csi_signals to spot when momentum is reaching extreme overbought or oversold levels.
- Stop debugging broken data by using validate_market_data to catch invalid price arrays before they hit your models.
- Filter out market noise by focusing on the ratio of momentum to volatility rather than raw price changes.
- Get consistent, deterministic results that don't fluctuate like standard LLM reasoning might.

## How It Works

The bottom line is you get mathematically sound momentum signals without manual calculation.

1. Provide your price arrays (High, Low, Close) to your AI client.
2. The MCP runs the mathematical engine to calculate the index and validate the data.
3. You receive normalized time-series values or specific qualitative trading signals.

## Frequently Asked Questions

**How can I use the Commodity Selection Index Calculator to find trends?**
You can use it to identify clean price trends by calculating the ratio of momentum to volatility. This helps you distinguish between high-conviction moves and noisy price action.

**Can the Commodity Selection Index Calculator help me spot overbought markets?**
Yes. You can use the signal tool to interpret specific index levels, which will tell you if a commodity is currently in an overbought or oversold state.

**Does the Commodity Selection Index Calculator work with any price data?**
It works with any standard High, Low, and Close price arrays. It also includes a built-in check to ensure your data is mathematically valid before you run any analysis.

**How does the Commodity Selection Index Calculator differ from standard momentum indicators?**
Unlike standard indicators, this tool specifically weights momentum against volatility, providing a normalized view that is more resilient to market noise.

**Can I run this Commodity Selection Index Calculator through Claude or Cursor?**
Yes, you can connect this MCP to any compatible client like Claude, Cursor, or Windsurf to perform these calculations directly within your chat or coding environment.