IraShy/mcp-server-workshop
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The Model Context Protocol (MCP) server is a backend system designed to enhance AI models by providing them with memory, tool access, and structured prompts, enabling more sophisticated interactions and functionalities.
🧠 Build an AI Backend: Tools, Memory & Prompts for Real-World LLMs
Welcome to the workshop! In this hands-on session, you'll learn how to build and deploy an MCP (Model Context Protocol) server — the backend brain behind AI clients like assistants, copilots, and autonomous agents.
Using the open-source TypeScript MCP SDK and Claude/Cloudflare Playground, you’ll create a system that gives an LLM memory, tool access, and structured prompts — and deploy it live using Cloudflare.
No prior AI experience needed — just high-level JavaScript/TypeScript, and curiosity!
🎯 Workshop Goals
By the end of this workshop, you will:
- Understand what an MCP Server is and how it powers AI systems
- Use the MCP SDK to:
- Register and expose tools (functions) to an AI model
- Manage context and memory for stateful conversations
- Orchestrate prompts and responses between clients and Claude
- Run and test your MCP server locally
- Deploy your MCP server to Cloudflare using Workers or Pages Functions so others can use it too
👩💻 Who This Is For
This workshop is designed for:
- Engineers curious about AI infrastructure
- Folks building AI-powered assistants, bots, or internal tools
- DevOps/Platform engineers interested in tool orchestration
- Anyone who wants to get hands-on with real LLM systems (beyond chatbots)
🧰 Tools & Tech Requirements
All tools are free, open source, or have free tiers. We'll support you with setup.
| Tool | Purpose |
|---|---|
| TypeScript MCP SDK | Core server logic |
| Node.js v18+ | Runtime |
| MCP client of choice | AI model backend |
| Cloudflare Workers / | Live deployment platform |
You’ll need:
- A personal GitHub account
- A working Node.js v18+ environment
- An account with Claude or mcp client of choice
- A Cloudflare account (free tier is fine)
👉🏾
🛠 What You'll Build
- A fully working AI backend with:
- Custom tools (functions) that your AI can call
- Memory for storing state or chat history
- Prompt logic that guides Claude’s behavior
- A live, working Cloudflare-hosted MCP server accessible from the web
📦 You’ll Walk Away With
- A GitHub repo of your custom, live-deployed MCP server
- Experience building modern AI infrastructure with open source tools
- A clearer understanding of AI backend architecture and edge deployments
- Confidence to keep building LLM-powered assistants, agents, or copilots
- Real experience with Cloudflare’s developer platform (Workers, Pages, etc.)