AI Backend Server
FreeNot checkedEnables AI clients to use custom tools, maintain memory, and follow structured prompts, built with TypeScript MCP SDK and deployable to Cloudflare.
About
Enables AI clients to use custom tools, maintain memory, and follow structured prompts, built with TypeScript MCP SDK and deployable to Cloudflare.
README
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)
👉🏾Full set-up instructions are here
🛠 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.)
Installing AI Backend Server
This server has no published package — it is built from source. Open the repository and follow its README.
▸ github.com/DevOps-Represent/mcp-server-workshopFAQ
Is AI Backend Server MCP free?
Yes, AI Backend Server MCP is free — one-click install via Unyly at no cost.
Does AI Backend Server need an API key?
No, AI Backend Server runs without API keys or environment variables.
Is AI Backend Server hosted or self-hosted?
A hosted option is available: Unyly runs the server in the cloud, no local setup required.
How do I install AI Backend Server in Claude Desktop, Claude Code or Cursor?
Open AI Backend Server on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.
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