What is MCP? Model Context Protocol Explained

Model Context Protocol (MCP) is redefining how AI connects with real-world tools, APIs, and data. In this video, Hugo breaks down what MCP is, how it works, and why it matters for developers and enterprises adopting AI at scale.

You’ll learn:
✅ What MCP is and why Anthropic launched it
✅ How MCP connects AI models with APIs, databases, and services
✅ Real-world use cases from GitHub, Google Drive, Slack, and more
✅ Challenges MCP still faces for enterprise adoption
✅ How Kong provides the infrastructure, governance, and optimization to scale MCP securely

00:00 – Introduction: Why AI integration is messy today

01:10 – What is Model Context Protocol (MCP)?

02:05 – The restaurant menu analogy for MCP

02:21 – MCP architecture explained (client, server, host)

03:30 – Local vs remote MCP VS Pre-built use cases

04:05 – Who’s backing MCP (OpenAI, Anthropic, Microsoft, etc.)

04:31 – Current gaps and challenges in MCP

05:00 – How Kong solves MCP’s enterprise challenges

Whether you’re a developer experimenting with AI agents or an enterprise leader exploring production-ready AI, this video explains how MCP + Kong unlock the next level of AI connectivity.

👉 Learn more: https://konghq.com

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