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Steam Review MCP: Analyze Feedback, Track Trends - MCP Implementation

Steam Review MCP: Analyze Feedback, Track Trends

Boost Steam game success with MCP—analyze reviews, track trends, and turn feedback into wins. Master player sentiment like a pro!" )

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Ranked in the top 5% of all AI tools in its category

About Steam Review MCP

What is Steam Review MCP: Analyze Feedback, Track Trends?

Steam Review MCP is a tool designed for developers and data analysts to extract and process user reviews from Steam games. Unlike raw API scraping, this Model Context Protocol (MCP) service simplifies access to structured review data, game descriptions, and automated sentiment analysis. Think of it as a "game feedback dashboard" that turns chaotic user opinions into actionable insights.

How to Use Steam Review MCP: Analyze Feedback, Track Trends?

Start with the simplest setup: just run npx steam-review-mcp to spin up the service. For deeper integration, configure it in your project like this:

{
    "mcpServers": {
      "steam-review-mcp": {
        "command": "npx",
        "args": ["steam-review-mcp"]
      }
    }
  }

Once running, use the get_steam_review tool with game IDs. For example, analyzing Dota 2 (appid:570) would return both raw review data and parsed summaries of player sentiment.

Steam Review MCP Features

Key Features of Steam Review MCP: Analyze Feedback, Track Trends?

  • Smart data fetching: Automatically pulls review counts, scores, and full text from Steam's API
  • Instant game profiles: Gets official names and descriptions for accurate context
  • Built-in analysis: Generates pros/cons lists and identifies emerging trends in recent feedback
  • Developer-friendly: Works seamlessly with existing LLM pipelines through MCP architecture

Use Cases of Steam Review MCP: Analyze Feedback, Track Trends?

Game studios use this to:

  • Monitor post-launch reception by tracking daily review changes
  • Identify common complaints before patch releases (e.g., "network issues" spikes)
  • Create competitor analysis reports by comparing multiple game IDs
  • Automate social media responses using summarized review sentiment

Steam Review MCP FAQ

FAQ from Steam Review MCP: Analyze Feedback, Track Trends?

  • Q: Can I test it without installation?
    A: Yes! Use npx steam-review-mcp --test to fetch a sample response.
  • Q: Where do I find app IDs?
    A: Check Steam store URLs (e.g., CS2 is appid 730).
  • Q: Is historical data available?
    A: Only current data - Steam's API doesn't provide historical records.

Content

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

Run it directly with npx:

npx steam-review-mcp

or add：

{
  "mcpServers": {
    "steam-review-mcp": {
      "command": "npx",
      "args": [
        "steam-review-mcp"
      ]
    }
  }
}

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:

  1. game_reviews:
* `success`: Whether the query was successful
* `review_score`: Review score
* `review_score_desc`: Review score description
* `total_positive`: Total positive reviews
* `total_negative`: Total negative reviews
* `reviews`: All review text content (without other metadata)
  1. game_info:
* `name`: Game name
* `detailed_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

# Install dependencies
npm install

# Build project
npm run build

# Run service
npm start

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