What dependencies does the server require?
Python 3.10 or higher and the uv package manager. Shioaji API credentials are also required.
@Sinotrade
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-shioaji": {
"command": "uv",
"args": [
"sync"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
MCP Server for Shioaji is a Model Context Protocol (MCP) server that gives AI assistants access to the Shioaji trading API for the Taiwanese financial market. It exposes Shioaji functionality as tools, allowing AI models to retrieve stock prices, fetch historical data, and scan stocks by ranking criteria.
Install with Python 3.10+ and the uv package manager (uv sync). Configure your Shioaji API credentials via environment variables (SHIOAJI_API_KEY, SHIOAJI_SECRET_KEY) or a .env file. Start the server with uv run mcp-server-shioaji; it listens on http://0.0.0.0:8000 by default.
Python 3.10 or higher and the uv package manager. Shioaji API credentials are also required.
Set the `SHIOAJI_API_KEY` and `SHIOAJI_SECRET_KEY` environment variables or provide them in a `.env` file in the server root directory.
The server does not store data locally; it fetches live data from the Shioaji API on each request.
The server runs as an HTTP server (default port 8000) and communicates via the Model Context Protocol (MCP).
The README does not specify rate limits, but it relies on the Shioaji API’s own constraints. The `scan_stocks` tool defaults to a limit of 20 results.
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