"author:contentforge-press" matching MCP servers:

Exposes data validation as tools so an AI agent can check whether data is actually correct before using it, scoring CSV files with per-row problem details, catching impossible dates, inferring schemas, and generating readable reports.

Enables auditing marketplace settlement CSVs for abnormal fee-rate changes across SKUs and dates, returning deterministic findings with dollar leak estimates, onset dates, baseline sources, and next actions, plus a per-SKU/day evidence table for independent verification.