Gracenote, a Nielsen division specializing in content data, introduces the Gracenote Model Context Protocol (MCP) Server, a game-changing tool for TV platforms. This innovative product integrates large language models (LLMs) with Gracenote’s comprehensive entertainment data, enhancing real-time responses to user queries. The Video MCP Server allows Connected TV (CTV) platforms to leverage AI for personalized recommendations and streamlined content discovery, mitigating common LLM limitations. For instance, users can inquire about specific episodes or find the highest-grossing Oscar-winning films easily. By enriching responses with program imagery and standardized content identifiers, the MCP Server promotes data harmonization and links to related content like reviews and trailers. Tyler Bell, Gracenote’s SVP of Product, emphasizes its potential to improve user engagement and monetization in the evolving AI landscape. As consumers increasingly turn to AI, Gracenote’s reliable, human-verified data remains a pivotal source for enhancing entertainment experiences across video, sports, and music.
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