Who would have thought? Tron Unicorns! oh yes!
The Model Context Protocol (MCP) is an open standard designed to connect AI models with external tools, data sources, and services. Think of it as a "USB-C for AI applications"—a universal interface that simplifies how AI systems interact with various resources. MCP enables seamless integration, making it easier to build workflows and enhance AI capabilities.
Quick Overview of MCP:
Purpose: MCP standardizes how applications provide context to AI models, enabling them to fetch data, call tools, and interact with services.
Architecture: It follows a client-server model:
MCP Hosts: Applications like IDEs or AI tools that need access to data.
MCP Clients: Protocol clients that connect to servers.
MCP Servers: Lightweight programs exposing specific capabilities (e.g., accessing databases, APIs, or local files)
Flexibility: MCP supports both local and remote data sources, making it versatile for various use cases.
A few links for MCP “servers” (remember, these are not OS servers, but lightweight “server” programs using MCP to connect to local/remote things like File Systems, YouTube or whatever):
MCP Server Finder | The Ultimate Model Context Protocol Directory
MCPServers.Net | Find Your Ideal MCP Servers & Resources
Hey, subscription to this podcast is FREE if you want to subscribe! I hadn’t realised before it forced you to pay ;) Of course, if you wish to or must pay, then please feel free with a paid subscription or via Patreon
Or just buy a unicorn a coffee here!
Oh, and yes, I have ended up on YouTube (doesn’t everyone eventually?):
https://www.youtube.com/@justfifteenmins but don’t worry, no ugly face to worry about (yet!).
Unicorn University:
Share this post