India, May 19 -- In the era of artificial intelligence, context is increasingly becoming the distinction between generic outputs and meaningful outcomes. Traditional AI-driven workflows often rely on fragmented searches across disconnected documents, applications and systems of record, while overlooking the conversations where decisions, trade-offs, customer requirements and commitments are made. This lack of contextual information can limit the effectiveness of AI workflows and force teams to manually reconstruct information from multiple systems.

To address this challenge, Zoom has announced expanded capabilities for its Model Context Protocol (MCP) Server. The update extends Zoom's conversation intelligence, agentic search and platfor...