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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

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

🤔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...🫡

Where do you think there's GAP in AI. there's new models launching every week and old models are out of style. and there's memory, MCP, api, agent and what not. Where do you see a Gap to be bridged?

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

MCP – The Future Tech Everyone Will Use Tomorrow (Don't Get Left Behind!) -- Imagine you're playing a video game. You press a button, and the game shows your score. That button is like an API (Application Programming Interface). APIs help apps talk

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

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

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