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MCP in production: what nobody tells you before...
MCP (Model Context Protocol) has been getting a lot of attention lately. And for good reason — it's a clean, open way to give AI models access to external tools and data. But if you're planning to put it in production, there are a few things worth knowing upfront. 1. Schema quality matters more than you think When an AI queries your database via MCP, it reads your schema. Vague column names, inconsistent conventions, undocumented relationships — the model will make wrong assumptions. Good schema
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