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MCP (Model Context Protocol)

19 moments from 19 videos · 42:04 min total

Explore standard protocols for connecting LLMs to diverse data sources. These talk segments help system architects and developers build more context-aware AI applications.

The Agent Interface Layer: Protocols, Tools and Trust Boundaries
Play section Origin and purpose of the Model Context Protocol Origin and purpose of the Model Context Protocol thumbnail Origin and purpose of the Model Context Protocol How MCP was created to provide AI systems with the connectivity needed for broader knowledge work.
Beyond Prompting: Building Scalable AI with Multi-Agent Systems and MCP
Play section Standardizing tool integrations with the model context protocol Standardizing tool integrations with the model context protocol thumbnail Standardizing tool integrations with the model context protocol Modularizing custom tool developments through universal server protocols eliminates redundant integration coding across different ecosystems.
AI for Enterprise Developers - Dr. Damir Dobric
Play section Connecting datasets with the Model Context Protocol Connecting datasets with the Model Context Protocol thumbnail Connecting datasets with the Model Context Protocol The Model Context Protocol operates as a connectivity layer to safely bring external data into isolated models.

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