Model Context Protocol from Claude - Open-Source Real-Time Data Bridging for LLMs⚡️
YouTube transcript, YouTube translate
A quick preview of the first subtitles so you know what the video covers.
ever wondered that the data that we have within our machine like the file system or Google drive or slack or GitHub all these data needs to be fine-tuned to get the real time information out from it using the large language model so how do we actually do that well welcome to this all new model context protocol from Claud anthropic released like a couple of hours before which they have promised that it can bridge the gap between the AI and the data that we have Within our machine so that it can fine-tune those information and get you the response in a more context aware fashion that is what is thing that we are going to be talking about in this particular video so model context protocol or mCP is a newly open-sourced standard designed to help the AI assistant work more effectively and efficiently by connecting them to a system and Tool where relevant data resides and this data that I'm talking about are quite a lot of data at the moment they have just released this as a developer preview there are very less connectors available but once you have more custom connectors available from different communities you are going to see this is going to be exploding bombad and the way that is going to be happening is going to be tremendous and that is what I'm quite excited about in this particular video to be honest so what problems that this particular mCP really solves so you can see that the AI models no matter how advanced they are they are limited by their abilities to access real time or domain specific data due to isolated and fragmented systems and traditionally integrating AI with the new data sources requires custom connectors for each systems making it quite harder to scale and that was the problem that we always