What is Model Context Protocol (MCP) and Why It Matters Artificial intelligence has quickly become more than just answering prompts. To be truly useful, AI needs access to the right context — your data, your tools, and your workflows. This is where Model Context Protocol (MCP) comes in. What is MCP? Model Context Protocol (MCP) is an open standard designed to connect AI models with external tools and data sources. Think of it as a universal adapter: instead of building a custom integration for every system, MCP defines a standard way to make those connections work.

Agentic AI and the Rise of Workflow Orchestration Artificial Intelligence is no longer just about models that classify images or generate text—it’s about agents that can reason, plan, and act across multiple systems. This new wave is often referred to as Agentic AI. Instead of passively waiting for prompts, agentic AI takes initiative, integrates with external tools, and orchestrates workflows in dynamic environments. From Static AI to Agentic AI Traditional AI applications were static: they performed a narrow task when invoked.

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