Is the SteamStats MCP Server currently operational?
No. The README explicitly states: "Current implementation is not operational!"
@algorhythmic
基本信息
MCP Server for Steam Web API Game Statistics
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"steamstats-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
The SteamStats MCP Server is a Python-based Model Context Protocol (MCP) server that acts as an intermediary between an MCP client (like Roo) and the Steam Web API, providing structured access to Steam game statistics and user information. It is built with FastAPI and exposes a single /message endpoint that accepts JSON-RPC style tools/call requests. Note: The README explicitly warns that the current implementation is not operational.
Clone the repository, install dependencies using UV, set the required STEAM_API_KEY environment variable, and optionally configure LOG_LEVEL, HOST, and PORT. Run the server with uvicorn main:app --host $HOST --port $PORT --reload. Connect an MCP client by configuring its mcp.json file with the sse type pointing to http://<HOST>:<PORT>/message.
/message endpoint for JSON-RPC tools/call requests.getCurrentPlayers, getAppDetails).No. The README explicitly states: "Current implementation is not operational!"
The server requires Python 3.11+, the UV package manager, FastAPI, Pydantic, Uvicorn, and the Requests library. A Steam Web API key (obtainable from the Steam Developer website) is mandatory.
Configure via environment variables: `STEAM_API_KEY` (required), `LOG_LEVEL` (optional, defaults to INFO), `HOST` (optional, defaults to `0.0.0.0`), and `PORT` (optional, defaults to 8000).
The server communicates with MCP clients over HTTP using Server-Sent Events (SSE). The client must configure its `mcp.json` file with type `"sse"` and the server's `/message` URL.
All data is fetched from the Steam Web API (e.g., `ISteamUserStats`, `ISteamNews`, etc.). The server does not store any data locally; it processes API responses and returns them to the client.
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