Designing an MCP server for a data-warehouse isn’t trivial—but the payoff is huge. Here’s why I’m convinced this pattern is the future of data access - Natural language = democratized data Non-technical users can now query data using plain English. No more SQL barriers, no more waiting for analysts. Just ask and get answers. - Cache frequently used queries is much easier using MCP tools. You can even create specific MCP functions for expensive queries and use cache more smartly. - Users don't need to juggle different UIs or remember which system has what data. Engineers can route queries based on cost, performance, and governance rules behind the scenes - Deep level Granular governance made simple. Different MCP Server tool sets for different roles: interns see exactly what they should, execs see what they must. Governance is baked in, not bolted on. MCP Server brings the business closer to its data, cuts waste, and hides back-end complexity—letting every team ask better questions, faster.

@Ubunta Data for the masses: the future calls, and it sounds like English.

@Ubunta Sounds promising. Is there already material to study/watch/learn on how to design and implement MCP for datawarehouses?