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how to connect ai models with your own softwares or tools? The answer is mcp servers The Model Context Protocol (MCP) is an open standard that enables AI models to securely access data and tools through standardized servers. MCP servers facilitate

This guy collected 300+ MCP servers and open-sourced all of them

🤔I am confused in one thing? should I integrate my LLM directry into the architecture of my OS or should I launch it separately and connect the OS infra via MCP servers? every suggestions are respected here...🫡

Most non-tech people learning AI don’t get this. I’ve explained how MCP works in simple. 1. 𝗨𝘀𝗲𝗿 Everything starts with the 𝗨𝘀𝗲𝗿. • The user wants something done • Example: “𝘍𝘪𝘯𝘥 𝘮𝘦 𝘧𝘭𝘪𝘨𝘩𝘵𝘴 𝘵𝘰 𝘚𝘪𝘯𝘨𝘢𝘱𝘰𝘳𝘦” The request

Most non tech people learning AI don't get MCP. I've given a simple clear explanation. 1. 𝗨𝘀𝗲𝗿 Everything still starts with the User. • The user wants something done • Example: “Send a message to my team” or “Summarise my Google Docs” But now t

LLMs without tools are like smartphones without apps. That’s why MCP (Model Context Protocol) is a game-changer. It’s the open standard turning AI from “chatbots” into agents that can actually get work done. 🚀 Here’s why you should care 🧵 🛠️ What

MCP is getting attention, but it’s just one piece of the puzzle If you’re developing Agentic AI systems, it’s crucial to understand more than just MCP. There are 5 key protocols shaping how AI agents communicate, collaborate, and scale intelligence

Alright, let’s break down what an MCP server is in simple terms! Imagine you have a really smart robot assistant—like a super helpful friend who can answer questions and do tasks for you. But here’s the catch: this robot only knows what it’s been t

Unrestricted versions of Drift Hunters enable you to play the game at any location. Regardless of whether you are using a school computer, working in an office, or accessing a public Wi-Fi network, circumventing restrictions on the game guarantees co

Breaking News: My AI just fired me. Apparently, I wasn’t “data-driven” enough, didn’t “scale,” and failed to “synergize with the cloud.” Meanwhile, it’s holding meetings with itself, automating my calendar, and pitching VCs on a startup called “Hum