Model Context Protocol

Large Language Models (LLMs) are already incredibly  powerful. They can generate human-like text, answer complex questions, and even write code. LLMs are great at creating content we can easily read and use but what if we could elevate them beyond just content creation? What if we could give them tools they could understand, use, and execute on their own? They would just need a simple description of the tools they have access to. Imagine giving your LLM superpowers, allowing it to do more by simply providing it with context about the tools you use and have. This isn't a futuristic [...]