The Model Context Protocol (MCP) is an open standard for connecting AI applications to data sources and tools. Think of it as one shared connector instead of a custom integration for every pair of systems.
Without MCP, each AI application needs separate code for every service it uses. For example, three AI applications connecting to four services may require twelve custom integrations. Each one needs its own tool definitions, authorization, and glue code.
MCP changes that pattern. Each application implements one client, and each external system gets one server. Compliant clients and servers can then connect without a new pair-specific integration.
The protocol standardizes four areas:
Discovery of tools, resources, and prompts.
Standard request and response messages.
Transport options for local and remote connections.
Session setup, capability negotiation, and notifications.
Rewriting in plainer words…
This answer doesn't lend itself to a diagram - it reads best . No credits were charged.
