by fenxer
Fetch and analyze game reviews using Steam API. Track sentiment, get game details, and use API keys for customizable fee
Retrieves Steam game reviews, ratings, and basic game information through Steam's API for analysis and research.
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.
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.
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.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Steam Review has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Steam Review reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Strong directory entry: Steam Review surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Steam Review against two servers with overlapping tools; this profile had the clearer scope statement.
Steam Review is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Steam Review has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Strong directory entry: Steam Review surfaces stars and publisher context so we could sanity-check maintenance before adopting.
We evaluated Steam Review against two servers with overlapping tools; this profile had the clearer scope statement.
Useful MCP listing: Steam Review is the kind of server we cite when onboarding engineers to host + tool permissions.
Steam Review is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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Access Steam game reviews using Model Context Protocol (MCP).
Helps LLMs retrieve Steam game reviews and information:
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"
]
}
}
}
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 descriptionFor overall game review analysis, summarizing the pros and cons of the game.
appid (required): Steam game ID, e.g., 570 (Dota 2)For analyzing recent game reviews, summarizing the current state of the game and player feedback.
appid (required): Steam game ID, e.g., 570 (Dota 2)# Install dependencies
npm install
# Build project
npm run build
# Run service
npm start
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.