MCP (Model Context Protocol) is revolutionizing how applications interact with LLMs by providing a standardized way to supply context. In this video, we'll build an MCP server from scratch and explore how it can enhance AI capabilities—allowing LLMs to fetch live data, update databases, and even interact with APIs.

🔹 What You'll Learn:
What is MCP (Model Context Protocol)?
How MCP servers extend LLM capabilities
Setting up an MCP server in minutes
Integrating MCP with external tools (GitHub, Slack, APIs)
Using TypeScript SDK for MCP
How to add custom tools to an MCP server
Running MCP servers locally

🚀 Resources & Code:
Template Project: https://github.com/betterstack-commun...
Model Context Protocol: https://modelcontextprotocol.io/intro...

❤️ More about us
Radically better observability stack: https://betterstack.com/
Written tutorials: https://betterstack.com/community/
Example projects: https://github.com/BetterStackHQ

📱 Socials
Twitter:   / betterstackhq  
Instagram:   / betterstackhq  
TikTok:   / betterstack  
LinkedIn:   / betterstack  

📌 Chapters:
00:00 Intro
00:29 MCP Explained
01:16 MCP SDK's
01:50 Project Setup
02:40 My Example API
03:09 Define MCP Server
03:49 MCP Tools
04:14 Creating a Tool
06:21 MCP Transport
06:43 Compile Project
07:33 Adding MCP Servers to Cursor
08:07 Using MCP Server in Cursor
08:49 Adding MCP Servers to Claude
09:41 Using MCP Server in Claude
10:15 MCP Resources
10:53 Creating MCP Resources
11:56 Creating Dynamic MCP Resources
12:50 Creating MCP Prompts
13:06 Sampling