# Bollinger Bands Calculator MCP for AI Agents AI Agent Connect

> Bollinger Bands Calculator MCP for technical analysis. It calculates volatility bands, identifies market squeezes, and provides real-time status reports on price positioning and breakout signals for traders and analysts.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_8v9LgUtyoHI2lSqvApxEGtjH0BKaCRngDmUd5Frq/ai-agent-connect
- **Tags:** bollinger-bands, volatility, squeeze, trading, indicators

## Description

Stop manually calculating volatility metrics or squinting at messy charts to find price breakouts. This MCP gives your AI agent the ability to perform precise technical analysis on price data. Instead of you doing the math, your agent can instantly determine where price sits relative to volatility bands, how wide the current range is, and whether the market is entering a period of extreme contraction. You can ask your agent to watch for specific volatility states or summarize the current market environment based on recent price action. By connecting this to your preferred AI client through Vinkius, you turn a standard chat interface into a sophisticated trading workstation that understands market structure and volatility shifts without you ever touching a calculator.

## Tools

### detect_volatility_squeeze
Identifies periods where volatility has contracted significantly. It helps you spot the calm before a major price move.

### get_band_summary
Provides a high-level status report on market volatility. It summarizes whether the market is tight or expanding.

### get_bollinger_bands
Calculates the middle band, upper/lower limits, bandwidth, and %B. It turns raw price lists into complete volatility profiles.

## Prompt Examples

**Prompt:** 
```
Calculate the Bollinger Bands for these prices: [150.2, 152.5, 151.0, 149.8, 153.4, 155.0, 154.2]
```

**Response:** 
```
Based on the prices provided, here are the Bollinger Band calculations:

| Metric | Value |
| :--- | :--- |
| **Middle Band** | 152.1 |
| **Upper Band** | 155.4 |
| **Lower Band** | 148.8 |
| **Bandwidth** | 4.47% |
| **%B** | 0.62 |

The price is currently trading within the bands.
```

**Prompt:** 
```
Is there a volatility squeeze happening with this bandwidth history: [2.5, 2.4, 2.6, 2.3, 2.2, 2.1, 1.9]?
```

**Response:** 
```
**Squeeze Status: Detected**

The current bandwidth of **1.9** is at a historical low compared to the previous values in your list. This indicates a significant volatility contraction, suggesting the market may be preparing for a breakout.
```

**Prompt:** 
```
Give me a summary of the volatility state for a middle band of 100, upper band of 110, lower band of 90, and a detected squeeze.
```

**Response:** 
```
### Volatility Status Report

* **Status:** Squeeze Detected
* **Volatility State:** Tight
* **Market Condition:** The bands are narrow, indicating low volatility.
* **Actionable Signal:** Watch for a breakout as price moves outside the 90-110 range.
```

## Capabilities

### Calculate volatility bands
Get the middle band, upper and lower limits, bandwidth, and %B for any price set.

### Identify market squeezes
Detect when volatility has contracted to extreme lows, signaling a potential breakout.

### Generate volatility reports
Receive a high-level summary of market status and potential breakout signals.

### Monitor price positioning
Determine exactly where current prices sit within the established volatility range.

## Use Cases

### Spotting a breakout before it happens
A trader asks their agent to check if the current bandwidth is at a historical low. The agent uses detect_volatility_squeeze and confirms a squeeze is active.

### Verifying price position in a trend
An analyst provides recent prices and asks where the current price sits. The agent uses get_bollinger_bands to report the %B value.

### Summarizing market regime shifts
A researcher needs a quick pulse on volatility. They ask for a summary, and the agent uses get_band_summary to report a 'Tight' volatility state.

### Automating indicator math
Instead of typing formulas into Excel, a user gives a list of prices to their agent and gets the full band set immediately.

## Benefits

- Eliminate manual math by using get_bollinger_bands to instantly process price arrays.
- Spot market breakouts faster by using detect_volatility_squeeze to find low-volatility periods.
- Get instant market context with get_band_summary instead of reading through endless spreadsheets.
- Monitor price positioning relative to bands using %B calculations provided by the MCP.
- Reduce errors in technical analysis by relying on deterministic math rather than LLM estimation.

## How It Works

The bottom line is you turn raw price data into actionable volatility intelligence instantly.

1. Connect the MCP to your AI client via the Vinkius dashboard.
2. Provide a list of recent price data or ask for a volatility status check.
3. Receive immediate technical analysis, including band values and squeeze alerts.

## Frequently Asked Questions

**How can I use the Bollinger Bands Calculator MCP for my trading?**
You can use it to automate technical analysis. Simply provide your price data to your AI agent, and it will calculate volatility bands, bandwidth, and squeeze states for you.

**Can this Bollinger Bands Calculator MCP detect market breakouts?**
Yes. By using the squeeze detection capability, the MCP identifies periods of low volatility that often precede significant price breakouts.

**Does the Bollinger Bands Calculator MCP work with any price data?**
Yes, as long as you provide a list of recent price points, the MCP can perform all necessary volatility calculations.

**How accurate are the volatility calculations in this MCP?**
The calculations are deterministic. Unlike standard LLM responses, this MCP uses specific mathematical tools to ensure the bands and %B values are precise.

**Can I get a summary of market volatility with the Bollinger Bands Calculator MCP?**
Yes, you can request a high-level status report that summarizes the current volatility state and potential breakout signals.

**How do I calculate the volatility bands?**
You can use the `get_bollinger_bands` tool by providing an array of closing prices. You can also optionally specify the lookback period and the standard deviation multiplier.

**What is a volatility squeeze?**
A squeeze occurs when market volatility contracts significantly. The `detect_volatility_squeeze` tool identifies this by checking if the current bandwidth is at a 6-month low.

**Can I get a summary of the current market state?**
Yes, the `get_band_summary` tool provides a qualitative status, volatility state, and recommendation based on the calculated bands and squeeze status.