Video MCP Server overview
AI is transforming entertainment search and discovery, however concerns exist around Large Language Model (LLM) limitations and the trustworthiness of their outputs. The Gracenote Video Model Context Protocol (MCP) Server grounds LLM responses with Gracenote’s gold-standard video data, verifying and enriching the output. With LLMs and Gracenote Video MCP Server, entertainment providers can turbocharge AI-driven content search and recommendations to deepen audience engagement.
Download our white paper to get a comprehensive look at the technology, its benefits and real-world applications.
Video MCP Server benefits
Improve LLM responses
Verify and ground LLM responses in real-time with Gracenote’s human-validated and industry-leading metadata, imagery and IDs.
Power advanced, conversational search
Deliver up-to-date, accurate and relevant search results for complex voice and text-based queries by better understanding the user’s intent.
Enhance content recommendations
Provide more personalized, relevant and compelling TV and movie recommendations by combining Gracenote data with a user’s viewing habits.
Reduce engineering costs and complexity
The Gracenote Video MCP Server is flexible, lightweight and open source, allowing you to quickly and easily make any preferred LLM “fluent” in Gracenote data.
Video MCP Server features
- Grounds LLM responses with Gracenote video metadata, IDs and imagery
- Powers conversational search for text and voice queries using descriptive data, genre, availability and more
- Offers compelling discovery and recommendations based on genre, relevant awards, popularity and more
- Provides direct links to movies and TV programs across streaming and linear destinations
- Compatible with any LLM
Video MCP Server use cases
- Highlight specific episodes based on conversational search queries, such as "List the episodes of Brooklyn Nine-Nine where Jake references Die Hard."
- Help fans locate where to watch live sports programming, such as "Where can I watch the Dodgers game tonight?"
- Generate personalized recommendations, such as "The Oscars are on this week; provide a list of ten Oscar-winning films of the last ten years this viewer would enjoy based on watch history."
- Provide recommendations for top content from a specific genre and time-period, such as "What are the best horror movies of the 1980s?"
- Make data harmonization and engineering easier with examples such as “The following shows are a mix of series and episodes with duplicates; normalize them, grouped by show and season, and return results that comply with the following JSON schema.”
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 & BrandInsights
Content metadata provides critical context as CTV advertising goes programmatic
The granularity of program information is becoming increasingly important across CTV channels as advertising goes programmatic.
Gracenote MCP Server white paper
The MCP Server connects LLMs with Gracenote’s knowledge base, ensuring that search and discovery experiences are accurate, recent and complete.
Trading places: SVOD services and FAST channels are swapping strategies as CTV usage grows
Almost 50% of the programs on FAST channels that Gracenote tracks were made in 2020 or later.