Enables deterministic, policy-aware churn analytics over a local Telco Customer Churn dataset through an MCP stdio server, providing allowlisted aggregate metrics, customer snapshots, and data quality summaries.
Production-oriented customer-retention intelligence that uses deterministic machine learning to predict churn and generate prioritized rescue reports, governed through MCP tools.
Enables any MCP client to run a complete data-science pipeline on a CSV: exploration, cleaning, model comparison, training, tuning, and plain-language analysis. Exposes nine tools that turn raw data into trained models and reports.
Enables any MCP-compatible LLM client to invoke a trained classifier for predicting customer payment delays through exposed tools, resources, and a prompt, with no client-specific integration code.
