Stats Compass FAQs

Question 1

How can I get started with Stats Compass?

Accepted Answer

You can quickly install it via pip: `pip install stats-compass-mcp`. For client-specific integration, run `stats-compass-mcp install --client claude` or `stats-compass-mcp install --client vscode`, then restart your client to begin.

Question 2

Which AI clients are compatible with Stats Compass?

Accepted Answer

Stats Compass provides seamless integration with popular AI clients such as Claude Desktop, VS Code Copilot, and Claude Code (CLI). It also has experimental support for Cursor and partial support for GPT/Gemini.

Question 3

What data science tasks can Stats Compass perform?

Accepted Answer

It offers a complete data science toolset for data loading, cleaning, transforming, Exploratory Data Analysis (EDA), visualization, and various machine learning workflows like classification, regression, and time series forecasting.

Question 4

Does Stats Compass support remote operations or Docker deployments?

Accepted Answer

Yes, it features a robust remote server mode for multi-client setups, enabling secure file uploads and downloads. Additionally, it offers Docker support for portable and scalable deployments, ensuring flexible operational environments.

Question 5

What is Stats Compass and what does it do?

Accepted Answer

Stats Compass is a unified server that empowers Large Language Models (LLMs) with comprehensive data analysis and machine learning capabilities, effectively transforming your LLM into a powerful data analyst.

Stats Compass

Stats Compass

Key Features

Use Cases

Key Features

Use Cases