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If you are still writing massive blocks of boilerplate code to connect your LLMs to external systems, you are wasting time. Model Context Protocol (MCP) is the new standard, and the FastMCP library lets you turn any standard Python function into an AI tool using just the @mcp.tool decorator. In this video, I break down exactly how FastMCP handles schema generation, parameter validation, and streaming in the background so you can focus on building actual agentic logic. What you will learn: Why is MCP replacing old AI integrations How to see the FastMCP framework to eliminate boilerplate Connecting your custom tools directly to Claude and Copilot Running synchronous and async code seamlessly