🧠 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!

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<details> <summary><strong>🎯 Workshop Goals</strong></summary>

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

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<details> <summary><strong>👩‍💻 Who This Is For</strong></summary>

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)

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<details> <summary><strong>🧰 Tools & Tech Requirements</strong></summary>

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)

👉🏾Full set-up instructions are here

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<details> <summary><strong>🛠 What You'll Build</strong></summary>

• 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

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<details> <summary><strong>📦 You’ll Walk Away With</strong></summary>

• 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.)

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