<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>MCP on Andrew Stryker</title><link>https://axs.sdf.org/tags/mcp/</link><description>Recent content in MCP on Andrew Stryker</description><generator>Hugo</generator><language>en</language><managingEditor>andrewjstryker@proton.me (Andrew Stryker)</managingEditor><webMaster>andrewjstryker@proton.me (Andrew Stryker)</webMaster><lastBuildDate>Sun, 03 May 2026 18:00:00 +0000</lastBuildDate><atom:link href="https://axs.sdf.org/tags/mcp/index.xml" rel="self" type="application/rss+xml"/><item><title>MCP for Your Data Warehouse</title><link>https://axs.sdf.org/2026/05/03/mcp-for-your-data-warehouse/</link><pubDate>Sun, 03 May 2026 18:00:00 +0000</pubDate><author>andrewjstryker@proton.me (Andrew Stryker)</author><guid>https://axs.sdf.org/2026/05/03/mcp-for-your-data-warehouse/</guid><description>&lt;p&gt;Business users want data that drives decisions. They want to know what
happened, why it happened, and what to do about it &amp;mdash; without learning a data
model, mastering dimensional thinking, or writing and debugging SQL. That is
the gap a good analyst closes. Analysts use both &lt;em&gt;domain&lt;/em&gt; and &lt;em&gt;technical&lt;/em&gt;
knowledge to pull insights out of an organization&amp;rsquo;s data warehouse. LLMs
offer a different path: connect the model to the warehouse via an MCP server,
and the user gets answers without needing the analyst&amp;rsquo;s technical knowledge.&lt;/p&gt;</description></item></channel></rss>