The short version
MCP (the Model Context Protocol) is a standard way to let an AI assistant use your tools and data. Think of it like a universal plug. Before standard plugs, every device needed its own special socket. MCP is the standard socket that lets any compatible AI assistant connect to any compatible tool.
Why this matters
On its own, an AI assistant only knows what it was trained on. It can’t see your calendar, look up today’s prices, or check whether a product was recalled this morning. It’s smart, but it’s working from memory and guesswork.
MCP fixes that by giving the assistant tools it can call — small, well-defined actions like “search recalls,” “check the calendar,” or “look up this customer.” The assistant decides when to use them; the tool returns real, current information; the assistant uses that to answer.
A concrete example
Our Pet Recall Watcher is an MCP server. It publishes tools like “check whether this product was recalled.” When you ask an AI assistant a recall question, the assistant calls that tool, gets back current public data, and answers from facts instead of from training-data memory.
The three pieces
- The assistant (the “client”) — Claude, ChatGPT, or another AI app.
- The MCP server — a small program that exposes tools and data.
- The protocol — the shared language they use to talk, so any client can use any server.
What it is not
- It is not a chatbot. MCP is the plumbing behind one.
- It is not “giving AI access to everything.” Each server exposes only the specific tools you build into it, and the assistant only sees those.
- It is not locked to one vendor. That’s the whole point of a standard.
Where to go next
- How to Use MCP with Claude & ChatGPT — connect your first server.
- Pet Recall Watcher — a real MCP server you can look at.
Want to put this into practice?
See the tools we've built, or tell us what you're trying to solve.