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MCP vs. AI Leader Guide

MCP vs. AI Leader Guide

If you've sat through a vendor demo lately, you've heard "Our platform is MCP-enabled." And maybe you thought, wait, don't we already have APIs?

Fair question. Both connect software to software, but they solve different problems for different users. If you treat them as the same thing, you'll either overspend on integration work you don't need or open a security door you didn't know was there.

This guide is 8 pages and takes about 15 minutes to read. It's the companion to my OMG AI! episode, and it gives you the clarity to lead the conversation instead of nodding through it.

Inside, you'll get:

  • The one-sentence answer (plus a restaurant analogy you'll steal for your next meeting)

  • A side-by-side MCP vs. API comparison table you can share with your team

  • The M×N integration math that shows why MCP is spreading so fast

  • 5 real business scenarios with the call I'd make on each: API, MCP, or both

  • The risks vendors skip: prompt injection, tool poisoning, and over-permissioning, explained in plain language

  • 8 security questions to ask before you connect any AI to your systems

  • The MCP-or-API decision checklist to score your next AI integration idea

  • How it all maps to the A.S.K. Framework™ and the Six Pillars of AI: Strategy, Infrastructure, Data, Security, Governance, and People

Who it's for: Executives, department heads, and decision-makers who are being asked to approve AI integrations and want to understand the technology well enough to ask the right questions.

Stop asking "MCP or API?" Start asking "Who is the user of this connection?" This guide shows you how. ¡Dale, que tú puedes!

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