How to Build a CSV Importer with MCP and AI
Describe the importer you want in plain language and have it generated, validated, and ready to embed. What MCP actually changes about importer configuration — and the one thing it does not replace.
How import internals actually work — matching algorithms, parsing, and the failure modes that only show up on real customer data.
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Describe the importer you want in plain language and have it generated, validated, and ready to embed. What MCP actually changes about importer configuration — and the one thing it does not replace.
A 400 MB upload does not fail because the file is big. It fails because something in the path tried to hold all of it in memory at once. Here is every place that happens, and the fix for each.
Every import pipeline has the same five stages, whether or not you designed them. The ones you skip do not disappear — they resurface as support tickets.
Every importer claims AI mapping. Most of the accuracy comes from four unglamorous layers underneath it — and knowing which layer fired tells you whether to trust the match.