MCP Servers

steam-storefront-mcp

MCP server enabling AI assistants to search Steam games, retrieve official store metadata, and analyze player review sentiment via public Steam Storefront JSON APIs without an API key.

README

steam-storefront-mcp

An MCP (Model Context Protocol) server that gives AI assistants access to public Steam Storefront metadata, official genres, categories, and player review sentiment via structured Steam Storefront JSON APIs.

Search for games on Steam, retrieve official store details, and analyze Steam player review ratings — all without needing a Steam API key. For underlying API documentation and technical guidelines, see the official Steam Web API Documentation.

Tools

Tool	Parameters	Description
`search_store`	`term` (string)	Search Steam Storefront by game title query — returns matching games with AppIDs via structured JSON API.
`get_store_details`	`appId` (number)	Get official store metadata (genres, categories, short/detailed description, developers, publishers, metacritic score, platforms, release date).
`get_app_reviews`	`appId` (number)	Get Steam player review statistics (positive review percentage, total review count, rating score string e.g. `"Overwhelmingly Positive"`).

Prerequisites

Node.js v18 or later
No API keys or Steam account required — this server uses public Steam Storefront endpoints.

Installation & Configuration

Option A — npx (Recommended, no install required)

Add the following to your MCP client config file:

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

Option B — Clone and build locally

git clone https://github.com/brandikun/steam-storefront-mcp.git
cd steam-storefront-mcp
npm install
npm run build

Then add to your MCP config:

{
  "mcpServers": {
    "steam-storefront": {
      "command": "node",
      "args": ["/absolute/path/to/steam-storefront-mcp/dist/index.js"]
    }
  }
}

MCP Client Config Locations

Client	Config File Location
Antigravity / AGY	`~/.gemini/antigravity-cli/settings.json` or `mcp_config.json`
Claude Desktop (macOS)	`~/Library/Application Support/Claude/claude_desktop_config.json`
Claude Desktop (Windows)	`%APPDATA%\Claude\claude_desktop_config.json`

Example Usage

Once connected, you can ask your AI assistant questions like:

"What is the Steam review consensus for Vampire Crawlers?"
"Search Steam for Elden Ring to get its AppID"
"Find out if Hades II supports full controller support, co-op, and Steam Deck"

Performance & Caching

Feature	Details
In-Memory Cache	All Steam Storefront API and store page requests are cached in memory for 1 hour (3600s).
Rate Limit Protection	Repeated lookups for the same game use 0 network requests.

License

MIT

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official

Featured

TypeScript

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official

Featured

Local

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official

Featured

TypeScript

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official

Featured

Python

E2B

Using MCP to run code via e2b.

Official

Featured

Neon Database

MCP server for interacting with Neon Management API and databases

Official

Featured

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official

Featured

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official

Featured