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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

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

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

4 ways how AI systems communicate and coordinate. I've explained each one in detail below. 1. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) • User submits a request: “Summarize today’s Slack messages.” • MCP Client receives input: Interface b

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

Everyone learning AI should know these 3 protocols. I've explained each protocol in simple. 𝗠𝗖𝗣 (𝗠𝗼𝗱𝗲𝗹 𝗖𝗼𝗻𝘁𝗲𝘅𝘁 𝗣𝗿𝗼𝘁𝗼𝗰𝗼𝗹) MCP helps AI models 𝗰𝗼𝗻𝗻𝗲𝗰𝘁 𝘁𝗼 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗲𝘅𝘁𝗲𝗿𝗻𝗮𝗹 𝗱𝗮𝘁𝗮. • It acts as a brid

Greg Isenberg just shared 23 MCP STARTUP IDEAS TO BUILD IN 2025 (ai agents/ai/mcp ideas) and its amazing: "1. PostMortemGuy – when your app breaks (bug, outage), MCP agent traces every log, commit, and Slack message. Full incident report in seconds.

𝗛𝗼𝘄 𝗶𝘀 𝗧𝗼𝗽𝗺𝗮𝘁𝗲 𝗯𝗲𝗰𝗼𝗺𝗶𝗻𝗴 𝘁𝗵𝗲 𝗡𝗼. 𝟭 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺 𝗳𝗼𝗿 𝟭:𝟭 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻𝘀? Topmate enables professionals to monetize their expertise by facilitating personalized interactions with their audience. Users can m

Ridesharing Social App Concept A social ridesharing platform that merges travel and social networking, offering a user-friendly experience with the following features: Profile Creation: Users can register their accounts, list their vehicles, and bu

5 Layers of AI Product Development. I've explained each in short, simple steps below. 1. 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗟𝗮𝘆𝗲𝗿 → Handles everything the user sees and interacts with → Ensures login security and smooth user experience → Stores session co