MCP MCP server · io.github.winedarksea
io.github.winedarksea/AutoTS
Automated time series forecasting with model search, anomaly detection, and event risk analysis
- host stars
- 1,428
- 30-day movement
- -1-0/day
- Related entries
- 2
- Connections
- 0
pypilocalstdio
This is an MCP server exposing AutoTS, an automated time series forecasting library that performs model search, anomaly detection, and event risk analysis. It communicates over stdio, letting MCP clients call its forecasting capabilities directly.
You want to run automated time series forecasting from your MCP-enabled assistant without writing modeling code yourself.
Use it to
- Generate time series forecasts automatically
- Detect anomalies in time series data
- Assess event-related risk in forecasts
- Search across models to find a good fit
For Analysts and developers needing automated forecasting through MCP
- Runs
- installed — on your machine
- Transport
- stdio
- Packaged as
- pypi:autots-mcp
- Install
- uvx autots-mcp
- Version
- 1.0.1
- Last release
- 2026-01-30
topicstime seriesforecastinganomaly detectionmodel searchmcp server