Enables personalized Steam game discovery by ranking the store against a player's playtime history and stated preferences, with tools to search games, inspect details and reviews, and explore taste profiles.
Enables AI agents to recommend Steam games from natural language by searching games, finding similar titles, filtering by tags and platform, and retrieving detailed game metadata.
Enables querying live cross-platform gaming market data — Steam players, Twitch/YouTube viewership, prices, discounts, hype, and the aggro metric — through 8 read-only tools for summaries, rankings, genre rollups, game details, and search.
Provides direct access to the RAWG gaming database, allowing users to search for games, retrieve detailed metadata, and explore genres within Claude. It streamlines game research by offering information on ratings, platforms, and release dates through natural language queries.