# Vortex Indicator Calculator MCP for AI Agents AI Agent Connect

> Vortex Indicator Calculator MCP provides a deterministic engine for calculating Vortex Indicator (+VI, -VI) and Oscillator values. It allows your AI agent to pinpoint market trends, momentum shifts, and volatility signals using precise directional movement ratios and crossover detection.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_TM4wRrGe7oxyRbrOPzrloUmJYmcNgx3s5PvBKNQ2/ai-agent-connect
- **Tags:** vortex, indicator, momentum, trend, volatility

## Description

Calculating technical indicators manually is a tedious process of crunching price data through complex formulas. This MCP changes that by giving your AI agent a dedicated math engine for the Vortex Indicator. Instead of you feeding raw numbers into a prompt and hoping the math is right, your agent can directly compute +VI, -VI, and the Vortex Oscillator with mathematical certainty. This means your agent can actually spot trend reversals or momentum shifts in real time. You can use it to identify when a trend is gaining strength or when a crossover suggests a change in market direction. By connecting this to your preferred AI client through the Vinkius catalog, you turn a standard chat interface into a precise technical analysis workstation. Your agent stops guessing about market momentum and starts providing data-backed insights based on directional movement ratios.

## Tools

### calculate_vortex_metrics
Computes the primary Vortex Indicator values and the Oscillator. This provides the raw math for trend analysis.

### detect_vortex_signals
Finds trend direction changes and momentum signals. It flags crossovers and trend confirmations automatically.

### get_vortex_summary
Provides a quick snapshot of the current market state. It summarizes trend direction and momentum strength.

## Prompt Examples

**Prompt:** 
```
Calculate the vortex metrics for these prices: highs [10, 12, 11], lows [8, 9, 10], closes [9, 11, 10].
```

**Response:** 
```
The calculated Vortex Indicator values for the provided series are:

| Metric | Value |
| :--- | :--- |
| **+VI** | 1.05 |
| **-VI** | 0.95 |
| **Oscillator** | 0.10 |

The trend shows slight upward momentum.
```

**Prompt:** 
```
Are there any trend signals in this vortex data: [{'plusVi': 1.2, 'minusVi': 0.8, 'oscillator': 0.4}, {'plusVi': 0.8, 'minusVi': 1.2, 'oscillator': -0.4}]?
```

**Response:** 
```
Yes, a **bearish Crossover signal** was detected at index 1. The momentum has shifted from positive to negative.
```

**Prompt:** 
```
What is the current market trend based on this vortex data at index 5?
```

**Response:** 
```
At index 5, the trend direction is **upward** with moderate momentum strength. The +VI is currently leading the -VI.
```

## Capabilities

### Compute directional movement ratios
Your agent calculates the exact +VI and -VI values needed for trend analysis.

### Identify momentum shifts
The agent detects changes in the Vortex Oscillator to spot rising or falling momentum.

### Spot trend crossovers
Your agent identifies when the indicator lines cross, signaling potential trend changes.

### Analyze market state
Get a high-level summary of current trend direction and strength from a single request.

### Confirm trend strength
Verify if a current trend is supported by strong directional movement.

## Use Cases

### Detecting trend reversals
A trader notices a price move and asks their agent to check for a bearish crossover using detect_vortex_signals.

### Validating momentum strength
An analyst uses calculate_vortex_metrics to see if a current upward trend has enough momentum to continue.

### Rapid market snapshots
A user needs a quick pulse check on a volatile asset and uses get_vortex_summary to see the current trend state.

### Backtesting signal logic
A developer feeds historical price series into the agent to verify how many signals would have triggered in the past.

## Benefits

- Eliminate manual math errors by using a deterministic engine for all Vortex calculations.
- Speed up trend detection using detect_vortex_signals to find crossovers instantly.
- Get immediate market context with get_vortex_summary instead of parsing raw data.
- Automate momentum analysis by having your agent run calculate_vortex_metrics on new price sets.
- Improve signal accuracy by relying on consistent, repeatable directional movement ratios.

## How It Works

The bottom line is you stop doing the math and start acting on the signals.

1. Connect the MCP to your AI client via Vinkius
2. Provide price data like highs, lows, and closes to your agent
3. Receive precise indicator values and signal detections

## Frequently Asked Questions

**How can I use the Vortex Indicator Calculator MCP for my trading?**
You can use it to automate the calculation of momentum and trend signals. Your agent can identify crossovers and trend strength directly from price data.

**Does the Vortex Indicator Calculator MCP provide accurate math?**
Yes. This MCP uses a deterministic engine, meaning it provides exact mathematical results for the Vortex Indicator and Oscillator every time.

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

**What kind of price data does the Vortex Indicator Calculator MCP need?**
To get accurate results, your agent needs a series of high, low, and closing prices for the period you want to analyze.

**Will this MCP help me find trend reversals?**
Yes, it is specifically designed to detect trend direction changes and momentum shifts through crossover detection.

**What is the Vortex Indicator?**
The Vortex Indicator is a trend-following indicator that uses the relationship between price extremes and volatility to identify new trends and momentum shifts.

**How do I identify a trend change?**
A trend change is identified via a Crossover signal, which occurs when the +VI line crosses the -VI line.

**Can I get a summary of the current market state?**
Yes, you can use the `get_vortex_summary` tool to retrieve trend direction, momentum strength, and extreme status for any given index in your data.