Season of AI - MCP Workshop with Python
The Model Context Protocol (MCP) is the open standard that is revolutionising how Large Language Models (LLMs) connect to external data, tools, and services, turning an LLM into a powerful, agentic tool.
This comprehensive, hands-on tutorial series provides a clear pathway for Python developers to understand, build, and deploy custom MCP servers. By standardising how your AI accesses external information, you will unlock a new level of intelligence and utility in your applications.
This workshop is a build-along experience that moves from basic server structure to advanced retrieval-augmented generation (RAG) capabilities, all using Python.
✨ What You'll Create
By the end of the workshop, you’ll have two awesome projects under your belt:
Project 1: 🐍 Python Study Buddy App
Goal: Build an interactive console application that demonstrates foundational MCP server implementation.
Key Concepts Covered: Basic Tool Exposure, Prompt Templating, and State Management.
Project 2: 🧠 AI Research Learning MCP Server
Goal: Develop an advanced, custom MCP server that empowers AI agents to find, summarise, and learn from real-time research.
Key Concepts Covered: Advanced RAG (Retrieval-Augmented Generation), External API Integration, and Personalised AI Workflows.
Bring your laptop, and let’s make some AI-powered memories! 🎉