Model Context Protocol (MCP): Introduction and Example in Python - Client and Server Implementation
The Machine Learning Engineer via YouTube
Overview
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This video tutorial explains the Model Context Protocol (MCP), an open standard developed by Anthropic in late 2024 that serves as a "USB-C port for AI applications." Learn what MCP is and follow a practical demonstration of creating an MCP server and interacting with it using a Python client in chatbot mode. Discover how MCP solves the "MxN" integration problem by standardizing connections between AI models and external tools, transforming it into a more manageable "M+N" problem. The 58-minute lesson covers the three main components of MCP architecture: the MCP Host (where AI models run), MCP Client (maintaining connections to servers), and MCP Server (lightweight programs exposing capabilities through the protocol). See how this technology has gained rapid adoption by companies like Block (Square), Apollo, Replit, and Sourcegraph, with over 1,000 community-built MCP servers by early 2025. Note that the notebook and code examples are available only to paying subscribers by contacting mlengineerchannel@gmail.com.
Syllabus
LLMOps: MCP. Introduction and example in Python. MCP Client and Server #machinelearning #datascience
Taught by
The Machine Learning Engineer