Video MCP Server overview
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.
Video MCP Server benefits
Bridge the AI trust gap
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
Streamline complex operations
Automate and scale back-end operations from data harmonization and enrichment to editorial fact-checking and recommendations curation
Reduce implementation friction
The open-standard MCP is compatible to plug in with your AI tech stack, lowering implementation friction and costs
Engage and retain viewers with next-gen search and discovery
Provide sophisticated, conversational search and dynamic, personalized content recommendations to increase viewing hours and reduce churn
Video MCP Server features
- Grounds and enriches LLM responses with Gracenote’s unparalleled breadth and depth of global video metadata
- Enables AI access to Gracenote’s authoritative, human-verified data industry-standard content IDs and rights-cleared imagery
- Compatible with any enterprise LLM or AI application framework via the open-standard MCP
- Provides actionable deep links to movies and TV shows across global streaming sources
Video MCP Server + AI use cases
- Enterprise data operations and workflow automation: Simplify engineering, automating data harmonization, editorial processes, industry monitoring and more
- Advanced conversational search: Enable viewers to find and watch movies and TV shows using natural language queries, such as "Where can I watch The Bear season 4?" or "List the episodes of Brooklyn Nine-Nine where Jake references Die Hard"
- Personalized content discovery: Deliver tailored recommendations around specific genres, storylines, actors, awards, topical events and more in combination with viewer watch history, preferences or even user-generated prompts
- AI viewing companions: Drive interactive, immersive viewing experiences that provide real-time information, cast details and related content suggestions based on the program currently being viewed.
Download our white paper to get a comprehensive look at the technology, its benefits and real-world applications.
Related products
Unlock AI-powered content search and discovery
Whether you’re looking to engage audiences with powerful conversational search capabilities, or provide dynamic and ultra-personalized content discovery paths, Gracenote Video MCP Server can help you unlock the full potential of AI-powered experiences for your audience.
Testimonials
What our customers are saying
It’s been a really positive experience. Gracenote was really dedicated with a real eye for the details. Not just following along, but also challenging us and bringing in new thinking.
Bei Li
Senior Manager CMS & Metadata Product Development
By helping to deliver a human-machine interface that is easy-to-use and aesthetically beautiful, Gracenote’s Smart Radio data solutions fit this approach perfectly.
Derek Jenkins
Senior Vice President of Design & Brand
Samsung is committed to delivering the most useful and engaging entertainment experiences to our users, By combining our AI technology with Gracenote’s industry-leading metadata, we aim to push content search and discovery to new heights, delighting viewers by empowering them to find the entertainment they love intuitively and naturally.
Bongjun Ko
Corporate EVP, Samsung ElectronicsInsights
Outside of the upfronts: Capitalizing on live sports across CTV
The broadening CTV landscape opens a wealth of advertising opportunity that sits well outside of national upfront deals.
TV audiences have shifted; ad dollars have not
Advertisers see the potential of CTV, but they’re hesitant to reallocate budget from linear TV because of a lack of information.
Hallucinations: What’s the risk?
LLMs are far from perfect, and in the world of entertainment, they think they know more than they actually do.