What is MCP and why it matters significantly (model context protocol) In short: MCP allows AI tools to utilize external applications. For instance, a Chatbot/IDE/AI-Agent can access Gmail/GoogleDrive/WeatherApp, among others. A comprehensive explanation for both technical and non-technical audiences (with demonstrations): 1) AI tools (such as chatbots, wrappers, agents, code generators, etc.) need to interface with external systems. Before MCP, connecting an AI tool to an external system via API required manual coding. This meant that each connection had to be programmed in advance. Additionally, each AI tool had to hardcode its links to all other tools. If we consider 1000 AI tools and 1000 external tools, this results in 1,000,000 hard-coded API connections. 2) MCP serves as a standardized protocol. This signifies that every AI tool needs to implement this once, enabling them to interact with thousands of external tools through this protocol. 3) The same principle applies to external tools. They only need to establish an MCP server once, allowing all AI tools that support MCP to connect to them. 4) This development is substantial. Visualize 10,000 AI tools and 10,000 external tools, each implementing MCP just once, leading to a total of 20,000 implementations. This is vastly more efficient than the previous scenario of 10,000 multiplied by 10,000, resulting in 100 million implementations. 5) This entire system can operate in the cloud or on a local machine. Check out the demos: https://x.com/johnrushx/status/1897655569101779201