A virtual statistician MCP server that provides real statistical methods—design of experiments, hypothesis testing, regression, SPC, MSA—via tested Python libraries, with plain-language interpretations and plotted outputs.
Deterministic time-series statistics for AI agents. This MCP server gives any LLM agent unit-tested statistical tools — anomaly detection, changepoint detection, seasonal decomposition, stationarity/trend tests, data-quality audits, baseline forecasts — with schema-validated structured output and no arbitrary code execution.
MCP server providing tools for high-energy physics: literature search (INSPIRE-HEP, arXiv), data access (HEPData), and statistical analysis (pyhf likelihoods) for reinterpreting LHC searches.
Pure-Python MCP server for type-faithful calculation — evaluate expressions under fixed-point, IEEE-754 double, or exact rational arithmetic, with every answer labelled with its precision (exact vs inexact).
MCP server for automated quality audit and corpus navigation of the Herculaneum scrolls, exposing scroll metadata, transcriptions, CT volumes, ML models, and documentation.
MCP server for deterministic numeric verification and spreadsheet auditing. Enables AI agents to verify math/finance claims, audit rows, and evaluate covenant rules with signed, independently checkable receipts.
