MCP Server & Client

Example Use Cases

• 1

  Integrate AI capabilities across multiple applications securely.

• 2

  Manage stateful sessions with context exchange and sampling coordination.

• 3

  Run multiple client instances on a single host with clear security boundaries.

Description

This project demonstrates the implementation of a server and client based on the Model Context Protocol (MCP), which uses a client-host-server architecture to enable AI integration across applications. MCP is built on JSON-RPC and provides a stateful session protocol focused on context exchange and sampling coordination, ensuring clear security boundaries and isolation of concerns. It facilitates multiple client instances per host, enhancing flexibility and security in AI application development.