Introduction to MCP

Example Use Cases

• 1

  Connect AI models to external tools and data sources through a unified protocol.

• 2

  Interactive CLI chat interfaces with document context and command support.

• 3

  Advanced MCP features like real-time notifications, scoped file access, and remote HTTP transport.

Description

This repository provides a comprehensive learning path and hands-on demos for building and interacting with MCP servers using Python. It includes core concepts, server and client implementations, and advanced features such as sampling, notifications, scoped file system access, and multiple transport protocols. The demos showcase practical applications like interactive CLI chat with document stores and modular document summarization pipelines, enabling developers to integrate AI models with external tools and data efficiently.