As streaming platforms enhance content discovery, AI-powered tools harnessing Large Language Models (LLMs) are becoming essential. Gracenote’s Video Model Context Protocol (MCP) Server addresses LLM limitations by connecting these models to Gracenote’s real-time entertainment data, ensuring accurate and relevant user responses. This integration allows TV platforms to handle complex queries, offering personalized recommendations and driving engagement. Examples include finding specific episodes of shows or high-grossing Oscar films. The MCP Server acts as a functional component of AI agents, enriching user interactions without altering LLM core training. It renders answers more reliable by correcting LLM-generated content, which often suffers from inaccuracies or outdated information. Moreover, it supports diverse video providers, including MVPDs and recommendation engines. As consumer interactions with AI improve, the MCP Server promises to enhance user satisfaction through precise, timely content discovery, crucial for retaining viewers in a competitive streaming environment.
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