Steam FAQs

Question 1

What is Steam for LLM Agents?

Accepted Answer

It's an MCP server that integrates comprehensive Steam data—including gaming library, achievements, statistics, and store discovery—directly into LLM agents via 12 granular tools, enabling AI to interact with your gaming world.

Question 2

What kind of Steam data can I access with this tool?

Accepted Answer

You can access your game library (playtime, recently played), detailed store page info (price, genres, Metacritic), achievement progress, game-specific player statistics, your wishlist with discounts, and recent game news and featured titles.

Question 3

What are the prerequisites to use this Steam integration?

Accepted Answer

You need Python 3.14+, `uv` (a Python package manager), a valid Steam Web API Key, and your numeric Steam ID. These details are used to configure the server.

Question 4

How do I configure my Steam API Key and Steam ID?

Accepted Answer

You need to set your `STEAM_API_KEY` and `STEAM_ID` as environment variables before running the server. For Claude Desktop/Code, these can be configured directly within the `mcpServers` section of your MCP server configuration.

Question 5

Are there any privacy or rate limit considerations?

Accepted Answer

Yes, your API key must be kept secure and never publicly shared. Some features, like achievements and player statistics, require your Steam profile (and wishlist for wishlist data) to be set to public. The Steam Web API also has undocumented rate limits.

Steam

Steam

Key Features

Use Cases

Key Features

Use Cases