MCP For Claude Marketplace
Linear Regression Calculator

Linear Regression Calculator MCP Connector for Claude

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Perform deterministic least-squares linear regression and volatility channel analysis.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server provides a suite of deterministic statistical tools for analyzing price trends using Ordinary Least Squares (OLS) regression. It allows AI agents to calculate the core regression line, generate volatility-adjusted regression channels, and evaluate trend reliability through R-squared metrics. Use calculate_regression_line to find the slope, intercept, and future projections, or calculate_regression_channels to identify price extremes via standard deviation boundaries. It is designed to bridge quantitative financial analysis with AI-driven decision making.

regressionleast-squaresstatisticstrend-analysisvolatility

3 tools expose this connector's capabilities to your AI agent.

analyze_trend_strength

Evaluates the quality and reliability of the current trend using statistical fit

calculate_regression_channels

Generates the upper and lower boundaries of the regression channel

calculate_regression_line

Calculates the core linear regression line and its associated trend characteristics

See how to talk to your AI agent using Linear Regression Calculator.

Calculate the regression line for these prices: [10, 12, 11, 13, 15, 14, 16]

The regression line has a slope of 1.0 and an intercept of 9.0. The current value is 16.0 and the next period projection is 17.0.

Find the regression channels for [100, 102, 101, 105, 107] with a 2.0 standard deviation multiplier.

The upper channel boundary is 108.5 and the lower channel boundary is 98.5.

Is the trend in [50, 51, 52, 53, 54, 55] strong?

Yes, the trend is strong with a High fit quality.

The server uses the Ordinary Least Squares (OLS) method to minimize the sum of the squares of the vertical deviations between the data points and the fitted line.

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