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I've been hearing a lot about this lately, and here's how I'm starting to conceptualize it:


A traditional API is like going into a restaurant and ordering from a menu. The menu you're handed at your table includes what the restaurant offers—a specific, printed list that you look at and select from. If the restaurant wants to change their offerings, they have to print new menus and distribute them to everyone.


In contrast, the Model Context Protocol is more like creating a protocol that allows you to walk into a restaurant, go into the kitchen, and talk directly to the chef. The chef has access to all the ingredients that the restaurant normally carries, and you can ask them to make something much more specific or customized to your needs.


For example, imagine a restaurant that serves a chicken sandwich and also serves pizza, but doesn't have a chicken Parmesan sandwich on their menu. If you could talk to the chef directly, they could probably make you a chicken Parmesan sandwich because the restaurant already has chicken (for the chicken sandwich) and Parmesan cheese (for their pizzas). It may not be on the traditional printed menu, but the chef could create it for you with existing ingredients.


That's what I think the Model Context Protocol is all about—creating a protocol that allows applications to communicate in much more customizable ways, in contrast to traditional APIs that have set parameters that can be updated and changed over time, but require specific updates that must then be redistributed to everyone using the API.


The apparent value here is enabling applications to be more flexible, intelligent, and aware of their context—more like working with a knowledgeable human than following rigid programmatic interfaces.


I'm still learning about the MCP, this is just my first take. Anyone reading this that has more knowledge on MCP please correct me.

Tune into another episode of CWA Today, as hosts Bob Lanter and Matthew Hayes are joined by entrepreneur and AI expert Wesley Brach to discuss the exciting world of artificial intelligence and its impact on workforce development. Wesley shares his journey into AI and explains the buzz surrounding generative AI, which is creating new content and revolutionizing industries. The conversation delves into the potential fears and optimism surrounding AI's influence on jobs, as well as the ways in which AI can help job seekers and employers connect more efficiently. Wesley also discusses his work with local workforce boards, providing examples of AI applications that support case managers and job seekers. Finally, the hosts and guest invite listeners to CWA's upcoming three-part training series, "Harnessing the Power of Artificial Intelligence," where attendees will gain practical insights and hands-on experience in leveraging AI for workforce development.


As entrepreneurs and business owners, we often focus on market trends, product innovation, and customer needs, all essential elements of a thriving business. But don’t overlook the importance of self-esteem and confidence in your business journey.


Confidence is the invisible force propelling us forward, empowering us to take calculated risks and embrace ambiguity. It enables us to navigate the ever-changing landscape of business, spot new opportunities, and adapt to unforeseen challenges.


Confidence not only allows you to persevere in the face of adversity but also fosters curiosity, passion, and grit – the very traits that predict future success.


The human eye's focus may be limited to a small percentage of our visual field, but as entrepreneurs, our confidence grants us the ability to scan our environment rapidly, stitching together a high-resolution picture of the world and our place within it.

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