"Matrix" matching MCP servers:

Enables agents to run statistics and data-science computations over numerical streams using only the Python standard library, including Z-score/IQR anomaly detection, Holt linear forecasting, Welch's t-test hypothesis evaluation, gradient-descent multivariate regression, and power-iteration SVD/PCA dimensionality reduction. Exposes these capabilities over JSON-RPC 2.0 stdio so clients like Claude Desktop, Cursor, and Windsurf can project high-dimensional feature vectors into principal components without any external dependencies.

Enables agents to run zero-dependency statistical analysis natively over MCP, including Power Iteration PCA/SVD dimensionality reduction, Holt linear forecasting, modified Z-score and Tukey IQR anomaly detection, Welch's t-test, and multivariate gradient-descent regression on numerical data streams. Projects high-dimensional feature vectors into principal component representations without any external libraries.

A mathematical computation service that enables users to perform symbolic calculations including basic arithmetic, algebra, calculus, equation solving, and matrix operations through the MCP protocol.

A Model Context Protocol server that exposes 8 mathematical tools (arithmetic, algebra, calculus, matrix operations, statistics, probability, unit conversions) to any MCP-compatible AI agent, enabling mathematical computations without code.

A Python-based MCP server providing mathematical computation tools and plotting utilities for a wide range of math topics including calculus, matrix operations, statistics, and more.

An MCP server that provides access to SymPy's symbolic mathematics library for advanced algebraic computations. It enables users to perform complex tasks such as symbolic simplification, calculus, equation solving, matrix operations, and number theory.

Enables project-based auto-research by tracking evidence across a Problem × Evidence Matrix, grading evidence quality, and honestly reporting insufficient evidence rather than hallucinating.

Enables mathematical computation via Wolfram Language/Mathematica integration, supporting calculations, equation solving, calculus, matrix operations, and symbolic mathematics.

Standardized DCF valuation engine for stocks (A-shares, Hong Kong, US, Japan). One run_dcf tool with an analyst-style two-phase flow: baseline valuation from 5-year historicals, then a final valuation with reasoned assumptions — value bridge, sensitivity matrix, reverse DCF. Deterministic: same inputs, same result.

Provides tools for AI-powered graph analysis, including relationship extraction, adjacency matrix creation, and network centrality calculations. It enables users to perform complex structural analysis and generate interactive D3.js visualizations from structured data.

Accepts a coupling matrix (covariance, correlation, or precision) and returns zone classifications, optimal factorization strategy, and calibrated risk predictions. Answers: which variable dependencies are load-bearing and which can be safely ignored?

An MCP server that enables accurate status and damage calculations for third-generation Pokémon games, including support for complex factors like weather, abilities, and items. It also provides tools for calculating optimal effort value (EV) distributions through brute-force damage matrix simulations.