# Correlation Matrix Calculator MCP for AI Agents MCP

> Correlation Matrix Calculator MCP for calculating deterministic asset correlations and covariance. It allows your AI agent to generate NxN matrices, track how asset relationships evolve over time through rolling correlations, and isolate risk-adjusted sensitivities like beta and volatility ratios for financial time series analysis.

## Overview
- **Category:** finance
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_NAk2D8BYoIO25xjUkMSrSwHwX82pYoIrGHBwtpaw/mcp
- **Tags:** correlation, covariance, beta, finance, statistics

## Description

Analyzing how different assets move together is a fundamental part of managing risk, but doing it manually involves endless spreadsheet formulas and tedious data cleaning. This MCP changes that by giving your AI client the ability to perform precise statistical math on financial time series. Instead of you manually calculating covariance or hunting for beta coefficients, you can simply ask your agent to run the numbers. It can build full correlation matrices to find hidden relationships between assets or track how those relationships shift over time using rolling windows. You can also dig into specific risk profiles, like how much an asset reacts to a benchmark or its volatility relative to others. By connecting this to your workflow through the Vinkius catalog, you turn your AI from a simple chatbot into a sophisticated quantitative analyst that can handle complex statistical modeling on demand.

## Tools

### get_asset_sensitivity
Isolate risk-adjusted relationships like beta against a benchmark. It helps you see exactly how an asset reacts to market movements.

### analyze_correlation_dynamics
Observe how asset relationships evolve over time. This tool uses rolling windows to show if correlations are stable or drifting.

### calculate_correlation_matrix
Generate NxN correlation and covariance matrices for multiple assets. It's the fastest way to map out an entire portfolio's movement.

## Prompt Examples

**Prompt:** 
```
Calculate the correlation matrix for these three assets: [[100, 101, 102], [50, 51, 52], [200, 198, 196]] with a 1-day return period.
```

**Response:** 
```
The correlation matrix for the provided assets is as follows:

| Asset | Asset 1 | Asset 2 | Asset 3 |
| :--- | :--- | :--- | :--- |
| **Asset 1** | 1.00 | 1.00 | -1.00 |
| **Asset 2** | 1.00 | 1.00 | -1.00 |
| **Asset 3** | -1.00 | -1.00 | 1.00 |

**Key Findings:**
* Assets 1 and 2 show a **perfect positive correlation** (1.0).
* Asset 3 is **perfectly negatively correlated** with both Asset 1 and Asset 2.
```

**Prompt:** 
```
How stable is the correlation between Asset A and Asset B over a 60-day window?
```

**Response:** 
```
Based on the 60-day rolling window analysis:

* **Stability Score:** 0.04
* **Interpretation:** This is a very low score, indicating that the correlation between Asset A and Asset B has been **extremely consistent** and stable over the last two months.
```

**Prompt:** 
```
What is the beta of this asset relative to the benchmark?
```

**Response:** 
```
The risk-adjusted sensitivity for the asset is:

* **Beta:** 1.25

This indicates the asset is **25% more volatile** than the benchmark. If the benchmark moves by 1%, this asset is expected to move by 1.25%.
```

## Capabilities

### Build correlation and covariance matrices
Generate full NxN statistical matrices to see how multiple assets move in relation to one another.

### Track shifting asset relationships
Monitor how correlations evolve over time using rolling windows and stability scores.

### Isolate risk-adjusted sensitivities
Calculate beta and volatility ratios to see how an asset reacts to a specific benchmark.

### Identify high and negative correlations
Spot assets that move in lockstep or move in opposite directions to improve diversification.

## Use Cases

### Diversification Check
A portfolio manager asks their agent to check if their new tech stocks are too highly correlated with their existing holdings using calculate_correlation_matrix.

### Beta Verification
A trader needs to know how a specific ETF will react to a market dip and uses get_asset_sensitivity to get the exact beta.

### Regime Shift Detection
A quant uses analyze_correlation_dynamics to see if the historical correlation between gold and equities is breaking down during a crisis.

### Risk Profiling
An analyst uses get_asset_sensitivity to compare the volatility ratios of two different funds to decide which is riskier.

## Benefits

- Eliminate manual math by using calculate_correlation_matrix to get instant NxN matrices.
- Spot changing market regimes by using analyze_correlation_dynamics to track rolling correlations.
- Measure benchmark exposure instantly with get_asset_sensitivity to find precise beta values.
- Identify diversification opportunities by finding assets with negative correlations.
- Assess risk stability by checking how much asset relationships drift over specific time windows.

## How It Works

The bottom line is you stop writing math formulas and start asking questions about asset relationships.

1. Connect the MCP to your preferred AI client via Vinkius.
2. Provide your asset price data or return series to your agent.
3. Receive formatted statistical matrices or risk coefficients directly in your chat interface.

## Frequently Asked Questions

**How can I use the Correlation Matrix Calculator to check my portfolio?**
You can provide your asset return data to your agent and ask it to generate a correlation matrix. This will show you exactly which assets are moving together and where you might be over-exposed.

**Can the Correlation Matrix Calculator track changing market trends?**
Yes. You can use the rolling correlation features to see how the relationships between different assets have shifted over specific time periods, helping you spot new market regimes.

**Will this MCP help me calculate beta for my stocks?**
Absolutely. You can ask your agent to find the beta of a specific asset relative to a benchmark, giving you a clear view of its systematic risk.

**Is the Correlation Matrix Calculator accurate for high-frequency data?**
The tool performs deterministic statistical calculations on the time series you provide, making it highly accurate for the specific return periods you define.

**How do I find assets that move in opposite directions?**
Just ask your agent to run a correlation matrix on your list of assets. It will identify negative correlations, which are perfect for finding assets that can hedge your existing positions.

**How do I calculate the relationship between multiple assets?**
You can use the `calculate_correlation_matrix` tool by providing the price series for each asset and the desired return period.

**Can I check how correlation changes over time?**
Yes, use `analyze_correlation_dynamics` with a specified rolling window to see how asset relationships evolve and to get stability scores.

**How is the beta coefficient calculated?**
The beta coefficient is calculated via `get_asset_sensitivity` or `calculate_correlation_matrix` by dividing the covariance of asset returns and benchmark returns by the variance of the benchmark returns.