Boost Your Agents with MCPs - Launch First Real-world Agentic App

Why MCP? MCP stands for Model Context Protocol . Think of it as a standardised USB-C port for AI tools. Instead of every AI application inventing its own plugin system, MCP defines a common interface: a server exposes tools, a client (our agent here) discovers and calls them. The beauty is that the same MCP server can be reused by Claude Desktop, by a Strands agent, by any MCP-compatible client — without changing a single line of server code. This is the interoperability that the ecosystem has been missing. Here, we use FastMCP, a Python library that reduces an MCP server to almost nothing: from mcp.server import FastMCP mcp = FastMCP ( " Calculator Server " ) @mcp.tool ( description = " Add two numbers together " ) def add ( x : float , y : float ) -> float : return x + y if __name__ == " __main__ " : mcp . run ( transport = " stdio " ) That is a fully functional MCP server. The decorator @mcp .tool is all you need to expose a function to any MCP client. Review: Our Analyst (Sub-agent