Enterprise AI requires a bridge between powerful models and source-of-truth data. Our 2026 AI report reveals a massive trust gap: 75% of users verify AI results because they don’t trust them. The Gracenote Video Model Context Protocol (MCP) Server provides a standardized grounding and intelligence layer that connects your AI stack to our entertainment knowledge graph. By activating Gracenote’s authoritative video data to automate and validate LLM-driven workflows, you can simplify back-end operations and elevate the UX with high-stakes accuracy that today’s audiences demand.
Explore our latest consumer research, which reveals that 42% of users worry that AI provides results that sound true even when they’re inaccurate.
Read the reportWatch an engaging discussion focused on the essential role of grounding LLMs with human-verified data, so you can stay ahead of the AI curve.
Watch the webinarDownload our white paper to get a comprehensive look at the technology, its benefits and real-world applications.
Download the white paperOur study, comparing grounded LLM with ungrounded (training data only) LLM responses, shows that the ungrounded LLM hallucinated all metadata for 1 in 5 TV and movie titles.
Explore our latest consumer research, which reveals that 42% of users worry that AI provides results that sound true even when they’re inaccurate.
Watch an engaging discussion focused on the essential role of grounding LLMs with human-verified data so you can stay ahead of the AI curve.
Download our white paper to get a comprehensive look at the technology, its benefits and real-world applications.
Ensure every AI-driven response is accurate, comprehensive and up to date, preventing LLM hallucinations with Gracenote’s trusted, human-verified video metadata, imagery and content IDs
Automate and scale back-end operations from data harmonization and enrichment to editorial fact-checking and recommendations curation
The open-standard MCP is compatible to plug in with your AI tech stack, lowering implementation friction and costs
Provide sophisticated, conversational search and dynamic, personalized content recommendations to increase viewing hours and reduce churn



Ready to explore the power of the Video MCP Server plus AI? Whether you want to tour the capabilities through a hands-on web demo, or start a technical evaluation with your engineering team, we have an option to help you get started.
Testimonials
Bei Li
Senior Manager CMS & Metadata Product DevelopmentBongjun Ko
Corporate EVP, Samsung ElectronicsVisually present your content catalog with the definitive collection of data, images and content IDs for movies, TV shows and sports programming to drive audience engagement.
Learn moreHelp audiences find and watch their favorite movies, TV shows and sports across all providers, platforms and services with deep links directly to the program for a seamless viewing experience.
Learn moreCreate personalized video recommendations by pairing deep descriptive metadata with viewer behavior, preferences and other contextual signals.
Learn moreInsights
Without proper grounding, large language models aren’t able to deliver accurate search and discovery results for TV viewers.
The centralized broadcast experience of the 2026 World Cup will be fragmentation free for U.S. sports fans—an attribute that may change with future tournaments.
Learn why CTV spending is growing, yet remains overshadowed by investments earmarked for traditional TV.
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