MCP Client and Server Architecture

What is the Model Context Protocol?

The Model Context Protocol (MCP) enables AI applications to access external tools, data sources, and prompts. It serves as a bridge between AI models and the outside world, allowing language models to interact with application-specific resources and functionality.

MCP provides several core capabilities:

• Tools: Functions that can be invoked by LLM applications
• Resources: Data that can be accessed by LLM applications
• Prompts: Templates for LLM interactions
• Notifications: Event-based communication between server and client

In short, MCP provides the rich and diverse context for LLM applications to interact with external resources and tools.

Architecture

The AJ MCP SDK is structured around several core components that work together to implement the MCP specification:

The architecture follows a client-server model with flexible transport options. The client interacts with the server using JSON-RPC over either HTTP ( with Server-Sent Events) or standard I/O pipes.