# Relative Volatility Index (RVI) MCP for AI Agents AI Agent Connect

> Relative Volatility Index (RVI) Calculator MCP for technical analysis. This tool lets your AI agent calculate RVI values, detect overbought or oversold signals, and identify price-volatility divergences using standard deviation-weighted momentum.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_zYZwBJWqGgzUusEVtgsrWjY1XmLeFeyH0qBqZ6EW/ai-agent-connect
- **Tags:** volatility, rvi, momentum, trading, indicators

## Description

Analyzing market momentum usually means staring at RSI charts and trying to guess if a move is actually backed by volatility. This MCP changes that by giving your AI agent the ability to calculate the Relative Volatility Index, which uses standard deviation to weight momentum. Instead of just looking at price direction, you can now ask your agent to find where price action and volatility are moving in opposite directions. It handles the heavy lifting of technical math, allowing you to spot overbought conditions or midpoint crossovers through a simple chat interface. By connecting this to your preferred AI client via Vinkius, you turn a standard LLM into a specialized quantitative analyst that can process price series and return actionable volatility signals instantly.

## Tools

### rvi_calculate
Computes raw RVI values and core indicators from a price series. It turns raw numbers into volatility momentum data.

### rvi_check_divergence
Finds mismatches between price movement and volatility trends. This helps identify weakening or strengthening trends.

### rvi_detect_signals
Scans RVI data for overbought, oversold, or crossover patterns. It highlights actionable market conditions.

## Prompt Examples

**Prompt:** 
```
Calculate the RVI for these closing prices: [150.2, 152.5, 151.0, 153.4, 155.0, 154.2, 156.8, 158.0, 157.5, 159.0]
```

**Response:** 
```
The calculated RVI values for your price series are:

| Index | RVI Value |
| :--- | :--- |
| 0 | 55.2 |
| 1 | 58.4 |
| 2 | 54.1 |
| 3 | 59.8 |
| 4 | 62.3 |
| 5 | 60.1 |
| 6 | 65.4 |
| 7 | 68.2 |
| 8 | 66.5 |
| 9 | 70.1 |
```

**Prompt:** 
```
Are there any overbought signals in this RVI series: [45, 50, 55, 72, 75, 71, 48]?
```

**Response:** 
```
Yes, I found the following **overbought signals** in that series:

* **Index 3**: Value 72
* **Index 4**: Value 75
* **Index 5**: Value 71

The momentum is currently sitting in the upper range.
```

**Prompt:** 
```
Check for divergence between prices [100, 102, 101, 103, 102] and RVI values [50, 52, 51, 53, 52].
```

**Response:** 
```
I analyzed the relationship between the price action and the volatility momentum. **No significant divergence patterns were detected** in this data window. The price and volatility are moving in relative alignment.
```

## Capabilities

### Calculate volatility momentum
Generate raw RVI values from any provided price series.

### Spot market signals
Identify overbought, oversold, or midpoint crossover conditions automatically.

### Detect price-volatility gaps
Find discrepancies where price trends and volatility momentum diverge.

### Analyze price series
Process lists of closing prices to produce technical indicator data.

## Use Cases

### Confirming trend exhaustion
A trader notices a price spike and asks their agent to check if the RVI shows an overbought signal to avoid buying the top.

### Hunting for divergences
An analyst provides recent price and RVI data to see if the volatility is actually supporting the current price trend.

### Automating signal scanning
A developer uses the agent to scan a list of closing prices for specific midpoint crossovers in the RVI.

### Validating volatility momentum
A user compares standard price movement against RVI values to see if a breakout is backed by real volatility.

## Benefits

- Get instant RVI calculations without manual spreadsheet formulas.
- Identify overbought and oversold conditions using rvi_detect_signals.
- Spot hidden trend shifts by using rvi_check_divergence to find price-volatility gaps.
- Automate technical analysis by feeding price series directly to your agent.
- Compare volatility-weighted momentum against standard RSI-style indicators.

## How It Works

The bottom line is you get professional-grade volatility math delivered through natural language.

1. Connect the MCP to your AI client through the Vinkius dashboard.
2. Paste your price data or ask your agent to analyze a specific series.
3. Receive formatted technical signals and RVI values directly in your chat.

## Frequently Asked Questions

**How can I use the Relative Volatility Index (RVI) MCP for my trading?**
You can use it to automate technical analysis. Instead of manual calculations, your AI agent can generate RVI values, find overbought/oversold levels, and detect when price and volatility are diverging.

**Does the Relative Volatility Index (RVI) MCP work with any price data?**
Yes. You can provide any series of closing prices to your AI client, and it will process the math to return the specific volatility momentum indicators you need.

**Can this Relative Volatility Index (RVI) MCP find market reversals?**
It can help you spot potential reversals by identifying overbought or oversold conditions and finding divergences where price moves one way while volatility moves another.

**How is this different from a standard RSI indicator?**
While RSI focuses on price changes, this MCP uses standard deviation to weight volatility momentum, providing a different perspective on how much 'strength' is behind a price move.

**Which AI clients can use the Relative Volatility Index (RVI) MCP?**
You can connect this MCP to any compatible client like Claude, Cursor, or Windsurf through the Vinkius platform.