"Let's be honest. AI assistants are smart, but they're mostly stuck inside a chat window. They can write an email, but they can't send it. They can plan a trip, but they can't book it. To do real things, they need to connect to other apps and services - what developers call "tools." And right now, that connection is a mess."
"Every time a developer wants their AI agent to use a new tool, like a weather API or a flight booking system, they have to build a custom bridge. It's like needing a different, clunky adapter for every single device you own. This is the problem that the Model Context Protocol, or MCP, is trying to solve. So, What is MCP? Think of it this way: Remember the days before USB? (If you are not that old, imagine it for understanding's sake.)"
MCP is a proposed set of rules by Anthropic that creates a standard language allowing AI agents to interface with external tools without custom connectors. MCP defines a handshake where an agent queries an MCP server for capabilities, a menu where the server lists available tools and required inputs, and a request phase where the agent invokes tools by name with parameters. A central MCP server handles protocol interactions, reducing the need for developers to write extensive glue code. Tool signatures can include functions like get_current_weather(location: string), book_flight(destination: string, date: string), and add_to_calendar(event_name: string, time: string).
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