Provides Steam gaming context to AI assistants by integrating with the Steam API to fetch user gaming information, allowing AI assistants to access and understand users' gaming activities and preferences
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@steam how many hours did I play Baldur's Gate 3 last week?"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
A Model Context Protocol (MCP) server that provides Steam gaming context to AI assistants. This service integrates with the Steam API to fetch user gaming information and exposes it through the MCP protocol, allowing AI assistants to access and understand users' gaming activities and preferences.
The easiest way to run the MCP Steam server is using Docker:
docker run --rm -i ghcr.io/dsp/mcp-server-steam:latestThe server can be configured using environment variables:
# Required configuration
STEAM_API_KEY=your_steam_api_keyRelated MCP server: steam-mcp
OpenJDK 21
Docker (for container builds)
Git
Clone the repository:
git clone https://github.com/dsp/mcp-steam.git
cd mcp-steamUse the development shell:
devshell shellThis will set up the required development environment with all necessary dependencies.
Build the project:
mvn packagedocker build -t mcp-server-steam .The server implements the Model Context Protocol (MCP) specification. For detailed API documentation, please refer to the MCP Documentation.
Contributions are welcome! Please feel free to submit a Pull Request.
MIT License
This server cannot be deployed
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