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Hands-on projects exploring AI, LLMs, LangChain agentic workflows, and Model Context Protocol (MCP) with live deployment.

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🧠 Learn AI: Hands-on AI, LLMs & Model Context Protocol (MCP) Projects

A comprehensive collection of practical projects exploring Artificial Intelligence (AI), Large Language Models (LLMs), Agentic Architectures, and the Model Context Protocol (MCP).


📚 Repository Overview

Module / Project Description Key Technologies
learn_mcp/ Research assistant chatbot combining FastMCP server with LangChain to search and analyze arXiv scientific papers in real-time. Model Context Protocol (MCP), LangChain, FastMCP, arXiv API, uv

CI/CD flow

flowchart TD
    A["Push / PR / Tag / Manual Dispatch"] --> B["main.yml (Orchestrator)"]
    B --> C["Job: detect-changes (dorny/paths-filter@v3)"]
    C -->|"learn_mcp changed OR Tag pushed"| D["Call: build-push-research-mcp.yml"]
    C -->|"Future: learn_rag changed"| E["Call: build-push-rag.yml"]
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📄 License

MIT License

About

Hands-on projects exploring AI, LLMs, LangChain agentic workflows, and Model Context Protocol (MCP) with live deployment.

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