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mcp-server-steam

向大型语言模型(LLM)提供你玩过的游戏以及每款游戏的游玩时长信息。

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README

MCP Steam Server

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.

Installation

Using Docker (Recommended)

The easiest way to run the MCP Steam server is using Docker:

docker run --rm -i ghcr.io/dsp/mcp-server-steam:latest

Configuration

The server can be configured using environment variables:

# Required configuration
STEAM_API_KEY=your_steam_api_key

Development

Prerequisites

  • OpenJDK 21
  • Docker (for container builds)
  • Git
  • devenv.sh

Setting Up Development Environment

  1. Clone the repository:

    git clone https://github.com/dsp/mcp-steam.git
    cd mcp-steam
    
  2. Use the development shell:

    devshell shell
    

    This will set up the required development environment with all necessary dependencies.

  3. Build the project:

    mvn package
    

Building Docker Image Locally

docker build -t mcp-server-steam .

API Documentation

The server implements the Model Context Protocol (MCP) specification. For detailed API documentation, please refer to the MCP Documentation.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License

help

Runtime guide

cloud

Hosted runtime

Hosted servers run from a provider-managed environment. You usually connect the MCP client to the hosted endpoint or follow the provider's authorization flow, without keeping a local process alive

  1. Open provider connection page
  2. Authorize or copy endpoint
  3. Connect from your MCP client
terminal

Local runtime / other methods

Local servers run on your own machine or infrastructure. You normally copy the server_config into your MCP client, install the required package, and provide env variables from env_schema when needed

  1. Copy server_config
  2. Install required package
  3. Fill env variables and restart client