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WORK AI PLATFORM
Platform Overview
Platform Overview BG
Glean Assistant
Your personal AI assistant
Data AnalysisDeep ResearchCanvasCompanion
Glean Agents
Build and manage AI agents
Agent BuilderAgent GovernanceAgent OrchestrationAgent Library
Glean Search
The foundation of enterprise AI
Enterprise GraphPersonal GraphSystem of contextHybrid Search
Connectors & Actions
Connect to all your apps
Model Hub
Get access to the latest models
APIs
Build generative AI experiences
Security
Safely scale AI at work
Agentic Engine
Plan & adapt over company context
GLEAN WHERE YOU WORK
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Daniel Martinho

Technical Marketing Engineer
, Glean

About

Daniel Martinho

Dan Martinho is a learning experience designer and technical content leader with 18+ years of experience turning complex topics into clear, engaging education at scale, from K–12 classrooms and university settings to global technology brands like Cisco and Amazon Web Services, where they now serve as Senior Tech Curriculum Developer empowering AWS engineers to build faster, smarter, and with confidence. Their background blends instructional design, curriculum development, multimedia production, project management, and cross-functional collaboration with subject matter experts and marketing teams to create learner-centered experiences across e-learning, ILT, microlearning, video, webinars, and simulations. Dan’s track record includes leading 40+ app development projects, producing 10 Top 200 iOS apps with more than 200,000 downloads across 120+ countries, and earning multiple honors including New Jersey Governor’s Educator of the Year recognition and Teacher of the Year awards. Their expertise is further strengthened by advanced studies in music education, educational leadership, and instructional design, plus certifications including Professional Scrum Master, CAPM, Microsoft Certified Educator, Google IT Support Professional, and a Duke University specialization in AI Product Management.

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Is MCP dead? When to use MCP for enterprise AI
March 26, 2026

Is MCP dead? When to use MCP for enterprise AI

Is MCP overhyped or essential? Learn when MCP adds real value, when a CLI is enough, and how enterprises use MCP for auth, observability, and shared AI infrastructure.

Daniel Martinho

Daniel Martinho

Technical Marketing Engineer

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