FAQ
Q: What is the Gracenote MCP server?
A: Gracenote is launching a new technology and tool that will make Large Language Models (LLMs) smarter and more accurate using Gracenote metadata. For the first time, Gracenote is making its normalized and structured metadata searchable and queryable via a Model Context Protocol (MCP) server for AI use cases. With this new offering, TV and video platforms and apps can employ LLMs to power entertainment search and discovery use cases, verified and enriched by Gracenote data.
With each real-time query, LLMs will be able to verify their contextually relevant responses against Gracenote data. This new product handles real-time queries and retrieves intelligence from Gracenote’s entertainment knowledge base made up of Gracenote IDs (TMS), factual data (title, year, genre) and descriptive data (description). It also has the capability to deliver imagery URLs, content, availability information (coming soon), and related deep links.
Q: What does MCP mean?
A: MCP (Model Context Protocol) is an open-source standard that helps LLMs and other AI models give better, more trustworthy answers. MCP Connects LLMs to external tools: MCP acts as a universal adapter, letting LLMs access information from external tools, systems and sources (such as websites or databases). MCP Grounds LLM responses: Before the LLM generates its response, it uses MCP in real-time to verify that the answer is up to date, accurate, and if needed enriches it with additional information.
Q
A: With the Gracenote Video MCP Server, customers can:
- Verify and enrich LLM results in real-time (an exercise known as grounding) with Gracenote’s trusted, industry leading entertainment metadata, imagery and IDs:
- Reduces errors and hallucinations
- Makes TMSIDs and images accessible to LLMs
- Provides up-to-date availability information (coming soon)
- Leverages LLM semantic search and powerful results ordering
- Rapidly integrate a Gracenote maintained solution, reducing data engineering and ingestion costs
- Power engaging, content-first UX with advanced conversational search, tailored recommendations, compelling discovery paths and universal ‘where to watch’ details
- Enable LLM data harmonization across disparate entertainment data sources, leveraging Gracenote IDs for content identification
Q
A: Gracenote OnConnect and On API deliver specific data sets, while the Video MCP Server is geared towards LLMs and makes Gracenote data sets and logic accessible and understandable to LLMs. The Video MCP Server enables querying to look up content by title, year, genre, etc. as well as where to watch programming.