MCP architecture is the structure that defines:
→ How AI models, tools, and users communicate
→How context is passed and preserved
→How standardized requests and responses work
✓Imagine It’s like the blueprint of how a smart AI ecosystem runs, keeping everything connected and consistent.
There are three major layers in MCP:
Layer Role
Client Layer
The user or front-end app that sends a request
Flow of a Typical Request in MCP:
Server Layer
The MCP Server that manages context, tools,
Flow of a Typical Request in MCP
modelsModel/Tool Layer
The AI models (e.g., GPT, Claude) and tools (e.g., browser, code)
Flow of a Typical Request in MCP
Here are the building blocks that make everything work: