Local-first MCP server for credit risk analysis. It enables explainable rule discovery, statistical validation, PSI drift monitoring, and root-cause diagnosis on user-approved Parquet data while preserving privacy.
MCP server that exposes the credit scoring model's deterministic tools (probability of default, SHAP explanations, typicality check, financial ratios) to AI agents, enabling natural language credit risk assessment.
