Model Context Protocol (MCP): The Missing Link Between AI Models and the Real World

Author(s): Rohan Mistry

Originally published on Towards AI.

Discover how MCP makes Al truly useful — connecting assistants to codebases, databases, workflows, and beyond.

Many developers have heard of MCP (Model Context Protocol), but far fewer understand what it actually does, how to use it safely, and why it has the potential to reshape how we build AI-integrated software. Whether you’re a junior dev starting out, or a senior architect designing large systems, knowing MCP (its design, strengths, limits) is becoming essential.

This article dives deep into what MCP is, its internals, how to use it effectively, real-world examples, potential dangers, and future directions. It emphasizes the importance of understanding MCP for developers at all levels, addressing challenges like context-loss, integration overhead, and improving workflows. It wraps up with best practices for both junior and senior developers, highlighting the significance of thoughtful design to mitigate risks associated with using MCP.

Read the full blog for free on Medium.

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Published via Towards AI