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AutoTS
Automated Time Series Forecasting
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Pythonfeature-engineeringdeep-learningforecastingautotspythonpreprocessingmachine-learningmcp-serverautomltime-series
AutoTS is an automated time series forecasting library packaged here as an MCP server. Based on its topics, it covers AutoML-style model selection, deep learning, preprocessing, and feature engineering for forecasting tasks.
Use it when you want automated forecasting exposed to agents through an MCP server rather than hand-tuning time series pipelines.
Use it to
- Run automated time series forecasts from an agent
- Compare AutoML-selected forecasting models
- Apply automated preprocessing and feature engineering to series data
- Serve forecasting as a tool via MCP
For Python developers building forecasting features or agent workflows
- Role
- mcp-server
- Language
- Python
- Licence
- MIT
- Forks
- 124
- Open issues
- 24
- Last push
- 2026-08-25
- Latest release
- 0.0.2 · 2020-01-11
topicstime-seriesforecastingautomlmcp-servermachine-learningpython