"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.

Extracts and structures executive meeting action items and decision accountability into JSON, enabling automated tracking and telemetry through MCP-compatible AI agents.

Provides geolocation, routing, and navigation tools including geocoding, place search, distance matrix, and turn-by-turn directions via NextBillion.ai APIs.