MCP Explained: A Quick Guide to Linking AI Agents with Real-World Tools

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AI agents often reason well but cannot interact with external systems such as databases, files, or CRMs. The Model Context Protocol (MCP) has emerged in 2026 as the standard for connecting these agents to tools in a consistent way. It works like a plug-in system: a tool exposes itself once as an MCP server, and any MCP-compatible AI client can then use it. Clients describe available tools to the model, which selects one, executes it through the server, and receives the result. Because servers are reusable across clients and many free community options exist, developers can add capabilities without rebuilding their agents.

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