A standardized interface for coordinating information sharing and collaborative work between different components in a machine learning system.
Model Context Protocol is a concept used in Machine Learning and Artificial Intelligence that defines a set of interfaces and conventions for passing and sharing information between different model components. Simply put, it is like a "shared workspace" that allows different model parts to understand each other's state and needs so that they can work better together.
The open protocol standard is changing the way AI systems connect to data sources. Here are the industry leaders' evaluations of us.
"Open technology like Model Context Protocol is the bridge connecting AI to real applications, ensuring innovation is transparent, accessible, and collaborative. We are pleased to use this protocol to build intelligent systems to help people focus on creative work."
Dhanji R. Prasanna, Block Chief Technology Officer
"MCP has fundamentally changed the way we integrate AI capabilities, and its standardized protocols significantly reduce the development costs of interfacing with disparate data sources, enabling us to bring intelligent capabilities to market faster."
Sarah Chen, Apollo Engineering Vice President
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