Server Learning

Server Learning is a project designed to facilitate the understanding and implementation of Model Context Protocol (MCP) servers. It explores key MCP primitives such as Resources, Prompts, Tools, Sampling, and Roots, as well as different transport methods like STDIO and SSE. The project aims to demonstrate how to build an MCP server capable of interacting with clients, handling errors, and exposing functionalities through tools.

Key Features

Use Cases