MCP’s (Model Context Protocols) are a critical tool needed our out PBS (personal brand site) Agent Builder to work. MCP’s allow LLM’s like ChatGPT, Gemini, Grok etc to interact with external data sources, as connectors. This enhances the abilities that LLM’s have as it allows them to go and gather specific data, like a universal connector. API’s preform a similar role that MCP’s do however, the main difference comes in usability. Before MCP’s existed, for LLM’s to go and gather data from an external source a specific/custom API was needed for every system. For example. For an LLM to go and grab information about you from Youtube, or Google for building personal branding or compmany websites, they each had to have their own API key configured. Now with MCP’s, platforms like Youtube and Google can connect with an LLM via one MCP instead of two, this removes a ton of complexity. So a simple analogy would be that MCP”s add plug and play capabilities to LLM’s for grabbing data. A side not on the name too, Model Context Protocol. These tools have a “protocol” they follow to grab “context” from different Large Language “Models”. If you break it down it totally makes sense.