jacobeverist/ts_api
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The Model Context Protocol (MCP) server is a versatile platform designed to handle advanced analytics, forecasting, and anomaly detection for time-series data, supporting both REST and MCP protocols.
Tools
Functions exposed to the LLM to take actions
query_timeseries
Equivalent to REST /timeseries endpoint with same parameters.
get_metrics
Lists available metrics and their descriptions.
aggregate_data
Advanced data aggregation with pandas resampling.
detect_anomalies
Statistical anomaly detection using z-score or IQR methods.
forecast_trend
Time-series forecasting using linear regression or moving averages.
Prompts
Interactive templates invoked by user choice
No prompts
Resources
Contextual data attached and managed by the client