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aianytime/mcp-workshop-hydpy

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MCP Workshop HYDPY

Overview

Welcome to the workshop at HYDPY! This hands-on session will take you from the fundamentals of MCP to advanced implementation patterns using modern tooling and real-world examples. 21st June 2025 HYDPY Meetup In-person, live coding & walkthroughs - What is MCP and why it matters now - Rise and evolution of MCP in AI ecosystems - Core concepts: protocol, client/server, routing, and validation - MCP Server + Client practical implementation (Python-based) - Tools & IDEs that support MCP workflows - Use cases across AI Agents, RAG systems, and automation - Pros, cons, and when not to use MCP - The future of MCP in secure AI systems We’ll use the following tools during the session: - Python 3.12+ with uv installed - TRAE IDE – portable, fast coding workspace. Practical automation (https://traeide.com/download) - Claude for Desktop – As a Host - Windsurf IDE – preferred for building some code related thingy - Goose Codename (for macOS users only) https://block.github.

README

🛡️ MCP Workshop – HYDPY Meetup (21st June)

Welcome to the Model Context Protocol (MCP) workshop at HYDPY! This hands-on session will take you from the fundamentals of MCP to advanced implementation patterns using modern tooling and real-world examples.


📅 Date & Venue

Date: 21st June 2025
Event: HYDPY Meetup
Format: In-person, live coding & walkthroughs


What You’ll Learn

We’ll cover the following key topics:

  • What is MCP and why it matters now
  • Rise and evolution of MCP in AI ecosystems
  • Core concepts: protocol, client/server, routing, and validation
  • MCP Server + Client practical implementation (Python-based)
  • Tools & IDEs that support MCP workflows
  • Use cases across AI Agents, RAG systems, and automation
  • Pros, cons, and when not to use MCP
  • The future of MCP in secure AI systems

🧰 Tools & Setup

We’ll use the following tools during the session:

  • Python 3.12+ with uv installed
  • TRAE IDE – portable, fast coding workspace. Practical automation (https://traeide.com/download)
  • Claude for Desktop – As a Host
  • Windsurf IDE – preferred for building some code related thingy
  • Goose Codename (for macOS users only) https://block.github.io/goose/

Prerequisites

Make sure to bring:

  • A laptop with internet access
  • 🐍 Python 3.12 installed → Install Python
  • uv package manager installed →
    curl -Ls https://astral.sh/uv/install.sh | sh
    
    
  • Clone this repo ahead of the event:

    git clone https://github.com/AIAnytime/MCP-Workshop-HYDPY/
    cd MCP-workshop-hydpy
    

🙌 Credits

Led by Sonu Kumar, AI Entrepreneur, Creator of AI Anytime (41K+ subs), and researcher, etc.

Special thanks to the HYDPY community for making this possible.


View the full README on GitHub

Install

This server does not publish a one-line install command.

Open the repository installation guide New to MCP? Start with the mcpskill.org guide →