What is Model Context Protocol (MCP)?
The Model Context Protocol is an open standard for exposing tools, data and actions to AI models through a consistent interface, so an agent can call them without bespoke integration each time.
Also called: MCP
In more detail
MCP defines how a system advertises what it can do and how a model invokes it. In practice it means an existing API can be published as a skill an agent calls, with its own scope and limits, rather than being wired into one model's proprietary format.
Why it matters
It decouples your systems from whichever model you use today. Integrations built against an open protocol survive a change of model or vendor, which matters when the underlying models are replaced every few months.
How iLeaf approaches it
MCP is the mechanism behind Adaptive AI: the APIs of an application already in production are wrapped as MCP skills, so agents can act through them while the core system stays untouched.