Provides Steam concurrent player trends as JSON, offering monthly player time series, growth rates across 3M/6M/12M/5Y windows, and live most-played feeds via a single REST endpoint, without needing a Steam Web API key.
Enables exploring Steam store reviews and community discussion threads with server-side filtering, temporal analysis, and metadata context for understanding player sentiment and feedback beyond store page noise.
Enables LLMs to retrieve and analyze Steam game reviews, providing access to review statistics, game information, and helping summarize pros and cons of games.
Provides tools for interacting with the Steam Web API to access player profiles, game libraries, achievements, statistics, inventories, and game information through natural language.
Provides hosted trend data MCP server for querying Google, TikTok, Amazon, Reddit, YouTube, Steam, npm and 30+ trend sources in natural language from any MCP-compatible AI.
