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MCP & Tool Protocols

Model Context Protocol

MCP

An open protocol for connecting AI applications to external tools, data sources, and services in a standardized way.

Example

An assistant uses one standard protocol to discover and call tools from different providers.

Why it matters

It reduces repeated connection work by giving tools and applications shared communication rules.

You'll hear it

“This connection follows the same standard as our other AI tools.”

Can you control it?

Set by the team

The people building or running the AI choose this setup. An everyday user generally needs their help to change how this part works.

Common questions

Does MCP decide which tools a model may use?
No. The surrounding application, services and user permissions determine which actions are allowed.
Does an MCP connection make a source trustworthy?
No. A standard connection does not verify the source's claims or make its instructions trustworthy.
What should teams review before enabling MCP?
Check who provides the connection, what it can access or change, and how to disable it.

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