"author:GillMacedo" matching MCP servers:

Enables finding recurring charges, subscriptions, price increases, and possible double charges from a bank or card statement CSV, along with yearly cost estimates, without any bank login or uploads. It also inspects a CSV to show detected columns and row counts before analysis.

Enables users and AI agents to reconcile CSV bank statements against invoices or bills by matching amounts and references, then sorting each line into matched, likely, review, or unmatched groups with reasons. It exposes read-only tools for matching files and inspecting detected CSV columns and row counts.

Enables AI agents to analyze an orders CSV to identify at-risk and lost customers, estimate yearly revenue at risk, and report repeat-purchase rates and top-customer dependence. It also inspects CSV column structure, with read-only tools that keep data local and never contact customers.