What is Model Context Protocol?
MCP
A common language that enables AI systems to talk to data and tools securely.
Overview
Model Context Protocol is a standard communication method that artificial intelligence models use when connecting to data sources or software tools in the outside world. In the past, each AI application had to establish special connections for different data sources. MCP eliminates this confusion and ensures that all models capture data and process within the same rules.
How it works
Using MCP, a developer connects the AI assistant to your company's database or calendar app. Thanks to the protocol, the assistant knows where the data is and how to read it. You just ask a question to your assistant, and it securely receives the necessary data via MCP and responds to you.
Where it is used
It is used in artificial intelligence-supported code editors, corporate data analysis tools and smart assistant platforms.
Commonly confused with
Can be mixed with API; However, while API is a general communication method, MCP is a specialized standard specifically focused on the context and data needs of artificial intelligence.
Frequently asked questions
Why is MCP necessary?
Instead of writing separate connection codes for each application, you can establish a standard connection with MCP once and use it in many different artificial intelligence models.
Is MCP safe?
Yes, MCP has a structure that keeps data access permissions under control, thus ensuring that artificial intelligence can only access permitted data.
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 →