Connects AI language models to the Trakt.tv API, granting access to real-time entertainment data and viewing history.
Sponsored
Trakt bridges the gap between AI language models and the Trakt.tv API by acting as a Model Context Protocol (MCP) server, enabling LLMs to access comprehensive entertainment data, including trending shows and movies, and personal viewing histories. It uses the Trakt API to bring real-time data directly to AI assistants, allowing for personalized entertainment recommendations, tracking viewing habits, and social sharing, all while providing a seamless and secure authentication process.
Key Features
01Retrieve real-time entertainment information through MCP resources and tools.
02Access public Trakt data, including trending and popular shows and movies.
03Enable AI models to provide personalized entertainment recommendations.
04Securely access personal Trakt viewing history and data.
05Check in to shows and share activity on social media.
061 GitHub stars
Use Cases
01Enabling AI assistants to provide real-time entertainment recommendations.
02Integrating entertainment data into AI-driven social experiences.
03Allowing users to track and manage their viewing habits through AI interfaces.
