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MCP, short for Model Context Protocol, is an open protocol for connecting AI applications to external systems. It is not about making the model itself smarter. It standardizes how agents access tools, data sources, prompt templates, and business systems.
Connecting Claude to MCP does not mean it already understands your project. It must call tools first to obtain context. This article explains six prompting techniques for working efficiently with MCP-enabled Claude: establish context, name tools, narrow scope, chain tool calls, use templates, and describe goals.
An AI agent adds hands, feet, and a brain around a large language model, allowing it to break down tasks, call tools, execute actions, and deliver results. This guide explains the architecture, ReAct loop, tech stack, development steps, and a minimal Claude SDK agent that can call a tool.
