Learn/L13 · Model Context Protocol (MCP)

API vs MCP

APIs are for app-to-app. MCP is for AI-to-tools, with model-friendly schemas.

Difficulty 4/5

Plain English

An API is the raw contract. MCP wraps tools in self-describing schemas the model can read, plus discovery, permissions, and a conversation-friendly call/result loop. You'd still use APIs for everything else; MCP is specifically about giving AI assistants safe, structured tool access.

Analogy

API is the manual. MCP is the manual plus a friendly assistant who tells you what each button does before you press it.

Agentify CRM

Agentify exposes a REST API for the web app. It could also run an MCP server that wraps a subset of that API for Claude to use.

Go deeper

API = app↔app raw. MCP = AI↔tools with schemas + discovery.

Common mistakes

Replacing a working REST API with MCP for non-AI clients. Wrong tool.
Exposing every API endpoint as a tool. Curate.

AI-agent trap

Agents will suggest 'just use MCP' for normal frontend↔backend. Keep MCP for AI clients.

Summary

MCP adds: tool discovery (list_tools), JSON schemas per tool, structured results, prompts, resources, and a permission flow in the host.

Confidence: