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What is MCP?

Model Context Protocol

It is the standard that enables artificial intelligence models to talk securely with data from the outside world.

Overview

Model Context Protocol (MCP) is a universal bridge that allows AI models to talk securely with data and software from the outside world. It allows different applications to speak the same language with artificial intelligence.

Analogy: It's like a plug standard; It allows different data sources to be easily connected to artificial intelligence, just as every device works with the same plug.

How it works

With MCP, developers securely connect AI to databases or file systems. The model pulls the data it needs through this protocol.

Where it is used

It is used in cases where internal company private documents need to be read by artificial intelligence or reports need to be obtained from live databases.

Commonly confused with

Mixed with API; While API is a gate, MCP is a rule set that ensures that the data passing through this gate is spoken in a standard language.

Frequently asked questions

Why is MCP necessary?

It increases security and efficiency by following a standard path instead of establishing separate connections for each application.

Is MCP open source?

Yes, it is an open standard developed to increase the interoperability of the artificial intelligence ecosystem.

Related terms

Related tools

This explanation was written in plain language for TreScout and machine-translated from the Turkish original · the Turkish version prevails. If something looks wrong or missing, write to hello@trescout.com. Read in Turkish →