"author:maevelynz" matching MCP servers:

Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.

Enables luxury fashion commercial teams to query governed deterministic analytics tools for sell-through, markdown risk, wholesale health, comp-store sales, return-rate root cause, and channel P&L from synthetic DTC, retail, and wholesale data.

Enables governed analytics and research on land development optionality, infrastructure proximity, and stewardship via MCP tools that provide transparent screening heuristics and reproducible evidence.

Enables natural-language supply-chain analysis over synthetic datasets through governed SQL/Python tools, providing supplier scorecards, forecast accuracy, risk detection, landed-cost comparisons, capacity planning, and quality trend insights without the LLM performing quantitative calculations.