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by fenxer • Analytics & Monitoring
Provides an MCP service that lets agents fetch and analyze Steam game reviews and basic game information.
Fetch aggregated Steam review metrics (score, positive/negative counts) for a given appid to inform recommendations or decisions.
Summarize player feedback and extract pros and cons from a game's recent or overall reviews.
Basic game metadata (name and detailed description) alongside review content to build contextual responses or game summaries.
This MCP server exposes a get_steam_review tool to retrieve Steam game reviews and basic game info (name, detailed description) by appid. It returns structured review metrics (positive/negative counts, review score and description) and raw review text, and includes prompts for summarizing overall and recent reviews. It's intended to help LLM agents summarize pros and cons, gauge player sentiment, and analyze recent feedback without directly calling the Steam web UI. Installation and usage are straightforward via npx or Smithery.
Retrieves reviews and game information for a specific Steam application. Returns formatted review data including review scores, positive/negative counts, review texts, and basic game information.
Scores are informational only and provided “as is” without warranty. AgentHotspot assumes no liability for actions taken based on these ratings.