# SuperTrend Calculator MCP for AI Agents AI Agent Connect

> SuperTrend Calculator MCP provides deterministic technical analysis for market trend direction and volatility-based stop-loss levels. It uses an iterative state machine to calculate precise trend flips and support/resistance levels from price data, making it easy to feed actionable trading signals directly into your AI agent.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_GxvkOKD0WaAhSqR6uIMPBhyEWy9LfsGyojlehpuX/ai-agent-connect
- **Tags:** trading, indicators, supertrend, volatility, finance

## Description

Calculating technical indicators manually is a tedious process of feeding high, low, and close prices into formulas and hoping the math holds up. This MCP changes that by handling the heavy lifting of trend analysis. Instead of you or your agent trying to interpret raw price arrays, this tool processes the data through a state machine to determine exactly where a trend flips and where your stop-loss should sit based on current volatility. You can run a full historical analysis to see how a strategy would have performed or just grab the most recent state to see the current market direction. It even checks your price data first to make sure there aren't any mathematical errors, like a high price being lower than a low price, which would break your analysis. By connecting this to your preferred AI client through the Vinkius catalog, you turn a standard chat interface into a precise technical analysis workstation that understands market structure and volatility-driven support levels.

## Tools

### calculate_supertrend
Generates a full historical series of SuperTrend values and trend signals. It's useful for backtesting a strategy over a long period.

### get_latest_supertrend_state
Retrieves the most recent trend direction and stop-loss levels. Use this to get an immediate read on current market momentum.

### validate_price_data
Checks that your high, low, and close prices are mathematically sound. This prevents errors before you start your analysis.

## Prompt Examples

**Prompt:** 
```
Is the current trend up or down for these prices? High: [105, 107], Low: [100, 102], Close: [103, 105]
```

**Response:** 
```
The current market trend is **Up** (1). 

**Current Status:**
* **Trend Direction:** Up
* **Stop-Loss Level:** 101.0
```

**Prompt:** 
```
Check if this price data is valid before I run my analysis: High [10, 9], Low [11, 10], Close [10, 9]
```

**Response:** 
```
The price data is **invalid**. 

**Error Found:**
* The high price (9) is lower than the low price (10) in the second data point. Please correct the data before proceeding.
```

**Prompt:** 
```
Show me the SuperTrend signals for this price series: High [10, 12, 11], Low [8, 9, 10], Close [9, 11, 10]
```

**Response:** 
```
Here is the SuperTrend analysis for your data:

| Period | Trend | Stop-Loss |
| :--- | :--- | :--- |
| 1 | Down | 8.5 |
| 2 | Up | 9.5 |
| 3 | Up | 9.5 |

**Summary:** The trend flipped from Down to **Up** at the second period.
```

## Capabilities

### Calculate historical trend series
Generate a complete timeline of trend directions and signals from a set of price data.

### Identify current market state
Get the most recent trend direction and stop-loss levels from a dataset.

### Validate price integrity
Check price arrays for mathematical consistency to prevent calculation errors.

### Determine volatility-based stops
Calculate dynamic support and resistance levels based on market volatility.

## Use Cases

### Automated Trend Verification
A trader asks their agent to check if a recent price move constitutes a trend flip using calculate_supertrend.

### Real-time Stop-Loss Calculation
An agent uses get_latest_supertrend_state to find the exact price level for a stop-loss order during a volatile move.

### Data Integrity Auditing
A developer uses validate_price_data to catch errors in a messy CSV of historical price data before running analysis.

### Strategy Backtesting
A researcher asks their agent to analyze a year of Bitcoin data to identify every time the SuperTrend flipped from down to up.

## Benefits

- Eliminate manual math errors by using validate_price_data to ensure your price arrays are consistent.
- Get instant market direction by using get_latest_supertrend_state for the most recent trend status.
- Backtest historical strategies easily with calculate_supertrend to see how trends behaved in the past.
- Automate stop-loss placement using precise, volatility-driven support and resistance levels.
- Reduce the complexity of trend analysis by offloading the state machine logic to this MCP.

## How It Works

The bottom line is you provide raw price data and get back mathematically sound trend signals and stop-loss levels.

1. Provide your price data arrays including high, low, and close prices.
2. The tool runs the data through an iterative state machine to calculate the SuperTrend values.
3. You receive precise trend directions, signal flips, and stop-loss levels.

## Frequently Asked Questions

**How can I use SuperTrend Calculator for my trading strategy?**
You can use it to generate precise trend signals and volatility-based stop-loss levels. By connecting it to your AI agent, you can automate the detection of trend flips and support levels directly from your price data.

**Can the SuperTrend Calculator help me find stop-loss levels?**
Yes. The tool calculates dynamic stop-loss levels based on the SuperTrend algorithm, providing you with specific price points that adjust according to market volatility.

**Will the SuperTrend Calculator work with my existing price data?**
Yes, as long as you have the high, low, and close prices. You can use the validation tool first to make sure your data is clean and ready for analysis.

**Is the SuperTrend Calculator accurate for backtesting?**
Absolutely. Because it uses a deterministic state machine to calculate the full historical series, it provides consistent and reliable results for testing how a trend strategy would have performed.

**How does the SuperTrend Calculator handle market volatility?**
The tool uses volatility to determine the distance of the stop-loss levels from the price, ensuring that your trend signals and exits account for current market swings.

**How do I use the SuperTrend indicator?**
You can use `calculate_supertrend` to get a full dataset of trend directions and stop-loss levels, or `get_latest_supertrend_state` to quickly check the current market status.

**What are the default ATR settings?**
The default ATR period is 10 and the default multiplier is 3.0, but these can be customized in the tool inputs.

**How can I ensure my data is valid?**
Use the `validate_price_data` tool to check if your high, low, and close price arrays are mathematically sound and consistent.