Steam Review MCP
English | 中文
Access Steam game reviews using Model Context Protocol (MCP).
Features
Helps LLMs retrieve Steam game reviews and information:
- Get game reviews (positive/negative counts, review scores, review content, etc.)
- Get game basic information (name, detailed description)
- Analyze game reviews and summarize pros and cons
Installation
Installing via Smithery
To install Steam Review for Claude Desktop automatically via Smithery:
Run it directly with npx:
or add:
Usage
Tools
This MCP service provides the get_steam_review
tool, which retrieves reviews and game information by passing a Steam game appid.
For more details, check the Steamwork API: User Reviews - Get List
The returned data contains two parts:
game_reviews
:success
: Whether the query was successfulreview_score
: Review scorereview_score_desc
: Review score descriptiontotal_positive
: Total positive reviewstotal_negative
: Total negative reviewsreviews
: All review text content (without other metadata)
game_info
:name
: Game namedetailed_description
: Detailed game description
Prompts
summarize-reviews
For overall game review analysis, summarizing the pros and cons of the game.
Parameters
appid
(required): Steam game ID, e.g.,570
(Dota 2)
recent-reviews-analysis
For analyzing recent game reviews, summarizing the current state of the game and player feedback.
Parameters
appid
(required): Steam game ID, e.g.,570
(Dota 2)
Development
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Tools
Позволяет магистрам права (LLM) извлекать и анализировать обзоры игр в Steam, предоставляя доступ к статистике обзоров, информации об играх и помогая обобщать плюсы и минусы игр.
Related MCP Servers
- -securityAlicense-qualityProvide information about the games you played and how long you played them for to an LLMLast updated -3MIT License
- AsecurityFlicenseAqualityGet access to real-time SEO data, including: keyword insights, backlink data, traffic estimates and more. Allow AI tools and Large Language Models (LLMs) to tap into the real-time SEO Review Tools API with natural language commands.Last updated -802
- -securityAlicense-qualityAI-powered League of Legends tool that simulates mock matches and compares summoners based on historical performance data.Last updated -3MIT License
- -securityFlicense-qualityEnables LLMs to retrieve, analyze, and visualize stock prices and financial report data for quantitative trading research and investment analysis. Provides real-time and historical stock data, financial statement analysis, key metric calculations, and trading signal visualization.Last updated -13