No user-submitted related servers found.
Scored across 17 tools
Each tool has a clearly distinct purpose: loading (three variants), listing, statistics, transformations, anomaly detection, decomposition, quality, comparison, and forecasting. There is no ambiguity; an agent can easily select the correct tool.
Most tools follow a verb_noun or descriptive verb pattern (e.g., load_csv, detect_anomalies, forecast_baseline). A few are single verbs (decompose, resample) or noun phrases (data_quality, stationarity), but the pattern is largely consistent and readable.
With 17 tools, the server covers a full range of time series operations—loading, inspection, transformation, analysis, anomaly detection, and forecasting—without being overwhelming. Each tool earns its place.
The toolset covers core lifecycle operations: loading, listing, description, resampling, rolling stats, quality checks, anomaly and changepoint detection, decomposition, stationarity, autocorrelation, trend tests, comparison, and baseline forecasting. Minor gaps (e.g., no differencing, no series deletion/export) are acceptable for analysis-focused servers.
