Most discussions around AI agents focus on models, frameworks, or prompts.
But the real bottleneck is integration.
How does an agent reliably connect to tools, APIs, databases, and services — at scale?
That’s where Model Context Protocol (MCP) comes in.
In this article, I break down:
MCP architecture (host, client, server, transport)
Why it replaces N×M integrations
Differences vs function calling & orchestration frameworks
Real security vulnerabilities (not theory)
What’s coming next in the MCP roadmap
If you're building production-grade agent systems, this is a layer you can’t ignore.
👉 Full article:
https://neuralcoretech.com/model-context-protocol-mcp-2026-agentic-ai-standard/
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