AI Backend Server

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Enables AI clients to use custom tools, maintain memory, and follow structured prompts, built with TypeScript MCP SDK and deployable to Cloudflare.

автор: DevOps-Represent

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Описание

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.)

from github.com/DevOps-Represent/mcp-server-workshop

Установка AI Backend Server

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/DevOps-Represent/mcp-server-workshop

FAQ