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by emarco177 • Uncategorized
A hands-on learning repository for the Model Context Protocol (MCP) connecting AI agents to external tools and data.
Connect Large Language Models to external tools and data sources.
Implement MCP features like Server-Sent Events and LangChain adapters.
Containerize MCP applications using Docker or work with MCP prompts.
This repository provides a structured, branch-based approach to learning the Model Context Protocol (MCP), which enables AI-agentic applications powered by Large Language Models to connect with external tools and data sources. It covers fundamental and advanced MCP concepts through step-by-step commits in dedicated branches, facilitating practical understanding and implementation. The course includes topics like Server-Sent Events, LangChain adapters integration, Docker containerization, and MCP prompts.
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