Autots

Name: Autots
Author: winedarksea

by winedarkseacommunityv1.0.1

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AutoTS is a Python package for time series forecasting that enables rapid deployment of high-accuracy forecasts at scale, utilizing various forecasting models and transformations directly on Pandas DataFrames.

From the registry: Automated time series forecasting with model search, anomaly detection, and event risk analysis

GitHub Repository

Install & configure

Prerequisites

required
Python with pip or uv
Python environment required to install the MCP server.
https://www.python.org/

Install in your client

Paste into the AI you're chatting with — it will figure out the rest

Please install the `autots` MCP server into my current AI client (that's you).

Required prerequisites (do these first if not already done):
- **Python with pip or uv** — Python environment required to install the MCP server. (https://www.python.org/)

Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["autots-mcp"]

Note: Canonical invocation per README is the 'autots-mcp' console script (installed via 'pip install autots-mcp' or 'pip install autots[mcp]'). Using uvx runs it in an isolated environment.

Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.

Note: Canonical invocation per README is the 'autots-mcp' console script (installed via 'pip install autots-mcp' or 'pip install autots[mcp]'). Using uvx runs it in an isolated environment.