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  3. Steam Reviews MCP
Steam Reviews MCP logo
Health: ActiveRecent health check succeeded.Last checked 9/9/2026, 8:17:46 PM

Steam Reviews MCP

User RatingsBe the first to rate and review this MCP server!
View Repository3 GitHub StarsTotal stargazers on GitHub for the source repository (3 stars).Visit Website
steamgamingreviewssentiment-analysis

Searches Steam, retrieves reviews and announcements, and analyzes sentiment without requiring an API key.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

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We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ā–¾

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "jhomen368-steam-reviews-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@jhomen368/steam-reviews-mcp"
      ]
    }
  }
}

šŸ’” Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesšŸŽ® More in Gaming

Overview

The jhomen368/steam-reviews-mcp MCP server searches Steam games, retrieves store details and user reviews, and analyzes review sentiment. It uses Steam's public Store services, supports filters such as date range, review type, Steam Deck status, and review-bomb exclusion, and provides topic-focused analysis with example quotes. Use it when an AI client needs structured Steam research for game discovery, purchasing comparisons, or review investigation. It can run locally through npm or in Docker with an HTTP/SSE endpoint.

Use cases

•Search Steam for games matching a title or shortlist
•Compare regional prices and store requirements
•Filter recent reviews and exclude review-bomb activity
•Analyze sentiment around a game topic
•Read official patch notes and app announcements

Key features

•Batch Steam game search
•Regional game and pricing details
•Filtered review retrieval
•Topic-based sentiment analysis
•Steam Deck compatibility data
•Paginated app announcements

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by Steam Reviews MCP.

Extracted Tool Capabilities
Batch Steam game search
Regional game and pricing details
Filtered review retrieval
Topic-based sentiment analysis
Steam Deck compatibility data
Paginated app announcements

How Steam Reviews MCP works

What jhomen368/steam-reviews-mcp MCP server does

The jhomen368/steam-reviews-mcp MCP server exposes Steam game discovery and review analysis through MCP tools. It can search for games by name, including batches of up to five queries, and return AppID and price information. A separate game-information tool retrieves regional store data, purchase notices, language support, store categories, system requirements, downloadable content, and Steam Deck compatibility when Steam provides those details.

Review retrieval supports pagination and filters for recent or all-time reviews, positive or negative review types, date windows, Steam Deck-related reviews, and off-topic activity associated with review bombing. Sentiment analysis can process a sample of reviews generally or focus on a supplied topic such as performance. Results can include representative review quotes with links to the Steam community.

The server also reads official Steam app announcements. Responses may include publication details, Steam markup, and cursors for loading older posts. This makes the server suitable for questions that combine store metadata, community feedback, and developer-published updates.

How it works

The jhomen368/steam-reviews-mcp MCP server uses Steam's public Store API and does not require an API key. MCP clients call the exposed tools with structured arguments, and the server validates inputs with Zod schemas before making requests. Steam data is returned with context about regional country and language requests rather than being silently converted or interpreted.

Search accepts either one query or a batch of up to five. Game-information requests can specify an ISO two-letter store country code and a Steam language code; defaults are the United States and English. Optional criteria can filter results by review score, review count, Metacritic availability, or free status. Steam Deck results preserve Valve's compatibility evidence, including unknown states when no published result is available.

Caching is included to reduce repeated API requests, with variable time-to-live behavior. The implementation also validates malformed or incomplete upstream data and can retain warnings when Steam does not return usable store, language, or compatibility information.

Setup and configuration

Install the jhomen368/steam-reviews-mcp MCP server globally with npm, then configure Claude Desktop to launch it through npx. The documented configuration uses the package @jhomen368/steam-reviews-mcp and the -y option so the package runner does not wait for interactive confirmation. Node.js 18 or newer and npm, or a compatible package manager, are required.

The project can also be built from source: clone the repository, install dependencies, build the TypeScript project, and run node build/index.js. A Docker image is available at ghcr.io/jhomen368/steam-reviews-mcp:latest. In HTTP mode, the example maps port 8086 and exposes MCP over Server-Sent Events at http://localhost:8086/mcp; the health endpoint is http://localhost:8086/health.

No environment variables or credentials are documented as required. The Docker image is designed to run as a non-root user and uses a minimal Alpine-based build.

Tools and capabilities

  • search_steam_games: searches by one name or a batch of up to five names, with limits and AppID lookup support.
  • get_game_info: returns regional pricing, purchase notices, language declarations, store features, requirements, DLC data, and Deck compatibility.
  • fetch_reviews: retrieves reviews with pagination, time, review-type, and off-topic activity filters.
  • analyze_reviews: performs sentiment analysis, supports a sample size, drills into topics, and returns example quotes.
  • fetch_app_announcements: retrieves official app posts, preserves available Steam markup, and paginates backward with cursors.

Limitations and notes

Returned store prices are regional Steam quotes and are not converted between currencies. Missing price fields do not establish that a game is free, and an unavailable quote does not identify the specific reason for unavailability. Steam may also fall back from a requested language without reporting which language was actually served.

Purchase notices are preserved from Steam but are not treated as proof that a game has or lacks a launcher, DRM, account requirement, or online-only behavior. Likewise, store category declarations are not independent tests of actual features. Announcement bodies can be truncated or malformed, and the response status should be checked before treating them as complete. The server relies on public Steam data, so availability and completeness depend on what Steam returns.

Read the full README →View source on GitHub →

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks — not a rating.

GitHub stars
3
Stargazers on the source repository.
npm downloads
405
Package downloads in the last 30 days.
Last commit
3d ago
Most recent push to the default branch.
Directory activity
3 views
Config copies, upvotes, and views on AllMCPs.

Reviews

No reviews yet — be the first to share how this listing worked for you.

Frequently Asked Questions about Steam Reviews MCP

Install Node.js 18 or newer, then run `npm install -g @jhomen368/steam-reviews-mcp`. Claude Desktop can launch it with `npx -y @jhomen368/steam-reviews-mcp`.

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Technical Specs & Signals

CategoryšŸŽ®Gaming
PricingFree
More technical detailsExpand ā–¾
TransportSTDIO
RuntimeNode.js
AuthNo auth required
LicenseMIT
ClientsClaude Desktop
Last updatedSep 9, 2026
11/11 checks healthy over the last 33d
Views3
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars3
GitHub Star CountTotal stargazers on GitHub representing community popularity (3 stars).
Last commit3d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Sep 9, 2026
npm downloads405/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
55Quality signal: Good Ā· 55/100How this signal is calculated ā–¾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools23/30
Adoption & activity8/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 20d ago via OSV.dev Ā· @jhomen368/steam-reviews-mcp (npm)

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