MCP: A Standardized, Two-Way Protocol

~15 min read

MCP standardizes how AI agents interact with tools, decoupling tool implementation from consumption. Unlike a fixed API contract or app-specific function calling, an MCP client can dynamically query a server's current capabilities rather than needing them hardcoded.

MCP: A Standardized, Two-Way Protocol is a Pro topic

Sign in, then upgrade to Pro or Power to unlock this topic and the full AI Engineering curriculum.

Key points

  • MCP standardizes how AI agents interact with tools, decoupling tool implementation from consumption — unlike fixed APIs or app-tied function calling
  • A client queries the server's CURRENT capabilities dynamically at connection time, rather than needing them hardcoded in advance
  • When a server's parameters change, the client adapts automatically on the next exchange — no code rewrite or redeploy needed
  • MCP is genuinely two-way: Tools/Resources/Prompts (server-provided) plus Sampling/Roots/Elicitation (server can request things FROM the client)
  • Designed specifically for AI agents adapting to new capabilities without pre-programming — the exact gap function calling and APIs leave open