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What is MCP? To define vaguely, MCP is a way for AI (like large language models) to connect and communicate with external data sources and services. It is basically a bridge that lets AI step outside its training data and interact with real-world data in real-time. What exactly was missing in AI before MCP? Before MCP, AI was powerful but limited to its training set. MCP servers let AI models fetch real-time data and also take action on it. For example, if you ask AI, “What’s the stock market price of Meta right now?” it couldn’t tell you because it’s probably stuck with data from 2021.
What is MCP?
To define vaguely, MCP is a way for AI (like large language models) to connect and communicate with external data sources and services. It is basically a bridge that lets AI step outside its training data and interact with real-world data in real-time.
What exactly was missing in AI before MCP?
Before MCP, AI was powerful but limited to its training set. MCP servers let AI models fetch real-time data and also take action on it.
For example, if you ask AI, “What’s the stock market price of Meta right now?” it couldn’t tell you because it’s probably stuck with data from 2021.
