steam-mcp
An MCP server that connects AI assistants to the Steam Web API and storefront, enabling game library analysis, mood-based backlog recommendations, wishlist evaluation, and storefront searches.
README
steam-mcp
An MCP (Model Context Protocol) server that connects AI assistants to the Steam Web API and storefront services. Enables game library analysis, backlog recommendations based on mood, wishlist evaluation, and storefront searches. Works alongside itad-mcp and opencritic-mcp.
What this does
This server acts as the foundational layer of a 3-server gaming stack:
steam-mcp(this one) — understands your Steam library, playtime, backlog, wishlist, and tastes. It surfaces game AppIDs.opencritic-mcp— takes game names/AppIDs and provides detailed critic scores and reviews.itad-mcp— takes game names/AppIDs and finds the best deals across legitimate storefronts and historical lows.
Example workflow: User: "I want something atmospheric and chill to play tonight."
steam-mcp(recommend_from_library) finds unplayed "Atmospheric" + "Relaxing" games in your backlog.opencritic-mcpvalidates which of those games have great critic scores.- User: "These look great, any of them on sale?"
itad-mcptakes the AppIDs and checks if any are on sale right now.
Wishlist deal check: get_wishlist → take AppIDs → itad-mcp get_historical_low → surface any games at or near their historical low price.
Tools
| Tool | Parameters | Description | Requires API Key? |
|---|---|---|---|
get_library |
steam_id (string, optional)<br>sort ("playtime" | "recent" | "name")<br>filter ("all" | "unplayed" | "played")<br>limit (number, default 50) |
Retrieve the user's owned Steam game library with playtime statistics. | Yes |
get_recently_played |
steam_id (string, optional) |
Games played in the last 2 weeks. | Yes |
get_wishlist |
steam_id (string, optional)<br>sort ("priority" | "date_added" | "name")<br>limit (number, default 50) |
Retrieve the user's Steam wishlist to find interesting games. | Yes |
get_app_details |
appid (number)<br>country_code (string, default 'us') |
Full Steam Store metadata for a specific game (description, genres, categories, price, metacritic). | No |
get_app_reviews |
appid (number)<br>filter ("all" | "recent" | "positive" | "negative") |
Steam user review sentiment for a game. | No |
search_games |
query (string)<br>limit (number, default 10) |
Resolve a game title to a Steam AppID. | No |
recommend_from_library |
steam_id (string, optional)<br>tags (string[])<br>unplayed_only (boolean, default true)<br>limit (number, default 10) |
Find games in the user's library that match specified tags/mood. | Yes |
discover_games |
tags (string[])<br>steam_id (string, optional)<br>max_results (number, default 20)<br>country_code (string, default 'us') |
Find well-reviewed games on Steam matching specific tags that the user does NOT own. | Optional |
Prerequisites
- Node 18+
- Steam account with a public library
- Steam Web API key
Getting a Steam API Key
- Go to https://steamcommunity.com/dev/apikey
- Log in with your Steam account.
- Enter any domain name (e.g.
localhost). - Click "Register" and copy the generated 32-character API key.
Finding your Steam ID
You can use either your vanity name or your 17-digit SteamID64.
- If your profile URL is
https://steamcommunity.com/id/your_vanity_name/, your Steam ID isyour_vanity_name. - If your profile URL is
https://steamcommunity.com/profiles/76561198012345678/, your Steam ID is76561198012345678.
Make your profile public
For the API to read your library and playtime, your Game Details privacy setting must be Public.
- Go to your Steam Profile -> Edit Profile -> Privacy Settings.
- Set "My Profile" to Public.
- Set "Game details" to Public.
- Set "Inventory" to Public if you want wishlist access.
Installation
Option A: Using npx (Recommended)
Add this to your MCP configuration JSON (mcp_config.json):
{
"mcpServers": {
"steam": {
"command": "npx",
"args": ["-y", "steam-user-mcp"],
"env": {
"STEAM_API_KEY": "your_api_key_here",
"STEAM_ID": "your_vanity_name"
}
}
}
}
Option B: Clone & Build
git clone https://github.com/brandikun/steam-mcp
cd steam-mcp
npm install
npm run build
Then add this to your MCP config:
{
"mcpServers": {
"steam": {
"command": "node",
"args": ["/path/to/steam-mcp/dist/index.js"],
"env": {
"STEAM_API_KEY": "your_api_key_here",
"STEAM_ID": "your_vanity_name"
}
}
}
}
MCP Configuration variables
STEAM_API_KEY(Required): Your 32-character Steam Web API key.STEAM_ID(Optional): The default user to query for library and playtime tools. If not provided, it must be passed per tool call.
Usage with itad-mcp and opencritic-mcp
For the ultimate gaming assistant, combine all three:
{
"mcpServers": {
"steam": {
"command": "npx",
"args": ["-y", "steam-user-mcp"],
"env": { "STEAM_API_KEY": "your_api_key", "STEAM_ID": "your_id" }
},
"itad": {
"command": "npx",
"args": ["-y", "itad-mcp"],
"env": { "ITAD_API_KEY": "your_itad_key" }
},
"opencritic": {
"command": "npx",
"args": ["-y", "opencritic-mcp"],
"env": { "RAPIDAPI_KEY": "your_rapidapi_key" }
}
}
}
Troubleshooting
- "No Steam ID provided": You must set
STEAM_IDin your environment or provide it in the tool call. - "Steam API key is required": The
STEAM_API_KEYenvironment variable is missing. - "Vanity URL not found": The Steam ID provided couldn't be resolved. Ensure it's your exact vanity name or a valid SteamID64.
- Library returns empty: Your profile is private. See the "Make your profile public" section above.
- Tags not matching: Steam tags are very specific. The server does its best with fuzzy matching, but if a tag isn't found, try a broader synonym (e.g., "RPG" instead of "Role-playing").
Privacy
Credentials are only read from environment variables. No data is logged or sent anywhere except Steam's own APIs.
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.
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.
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.
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.
Neon Database
MCP server for interacting with Neon Management API and databases
E2B
Using MCP to run code via e2b.
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.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.