AI assistants can perform complex reasoning but lack direct access to external apps and services. Developers currently build custom connectors for each tool, creating fragmentation and overhead. The Model Context Protocol (MCP) proposes a standardized interface that lets AI agents discover and invoke tools through a shared language. An MCP server advertises available tools and their required parameters so agents can select and call them without bespoke glue code. The protocol reduces developer burden, improves interoperability across diverse APIs, and aims to make tool access as straightforward and universal as USB did for hardware peripherals.
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,
Then USB came along and created one standard plug that just worked for everything. MCP aims to be the USB for AI. It's a proposed set of rules( by Anthropic, the company behind Claude) - a standard language - that lets any AI agent talk to any tool without needing a custom-built connector. It's a simple, universal agreement on how to ask for things and get a response.
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