Steam Review▌

by fenxer
Fetch and analyze game reviews using Steam API. Track sentiment, get game details, and use API keys for customizable fee
Integrates with Steam's API to fetch and analyze game reviews and information, enabling customizable queries for player feedback, sentiment tracking, and game details.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Game developers researching player feedback
- / Market researchers analyzing gaming trends
- / Content creators studying game reception
capabilities
- / Fetch Steam game reviews by app ID
- / Get review scores and sentiment counts
- / Extract review text content
- / Retrieve basic game information
- / Analyze positive/negative review ratios
what it does
Retrieves Steam game reviews, ratings, and basic game information through Steam's API for analysis and research.
about
Steam Review is a community-built MCP server published by fenxer that provides AI assistants with tools and capabilities via the Model Context Protocol. Fetch and analyze game reviews using Steam API. Track sentiment, get game details, and use API keys for customizable fee It is categorized under other, analytics data. This server exposes 1 tool that AI clients can invoke during conversations and coding sessions.
how to install
You can install Steam Review in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Steam Review is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Steam Review MCP
English | 中文
Access Steam game reviews using Model Context Protocol (MCP).
<a href="https://glama.ai/mcp/servers/@fenxer/steam-review-mcp"> <img width="380" height="200" src="https://glama.ai/mcp/servers/@fenxer/steam-review-mcp/badge" /> </a>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:
npx -y @smithery/cli install @fenxer/steam-review-mcp --client claude
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:
-
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
# Install dependencies
npm install
# Build project
npm run build
# Run service
npm start
FAQ
- What is the Steam Review MCP server?
- Steam Review is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Steam Review?
- This profile displays 61 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★61 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Steam Review has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Henry Patel· Dec 28, 2024
Steam Review reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Henry Rao· Dec 28, 2024
Strong directory entry: Steam Review surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Layla Haddad· Dec 4, 2024
We evaluated Steam Review against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ama Agarwal· Dec 4, 2024
Steam Review is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Layla Sharma· Nov 23, 2024
Steam Review has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Isabella Chen· Nov 23, 2024
Strong directory entry: Steam Review surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Yash Thakker· Nov 19, 2024
We evaluated Steam Review against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ren Gupta· Nov 19, 2024
Useful MCP listing: Steam Review is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Layla Farah· Nov 19, 2024
Steam Review is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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