China Stock MCP Server
@peikuo
China Stock MCP Server について
概要はまだありません
基本情報
設定
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": {
"china-stock-mcp-server": {
"command": "python",
"args": [
"-m",
"venv",
".venv"
]
}
}
}ツール
ツールは検出されませんでした
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。
概要
What is China Stock MCP Server?
China Stock MCP Server is an MCP (Multi-Call Protocol) server that provides comprehensive access to Chinese stock market data through a unified API. It leverages the AKShare library to fetch real-time and historical data from the Shanghai (SSE), Shenzhen (SZSE), and Beijing (BSE) stock exchanges, covering A-shares, B-shares, indices, ETFs, and more.
How to use China Stock MCP Server?
Clone the repository, create a Python virtual environment, install dependencies with pip install -r requirements.txt, then start the server by running python main.py.
Key features of China Stock MCP Server
- Comprehensive data coverage including A-shares, B-shares, indices, ETFs
- Real-time market data with quotes, bid-ask spreads, and market depth
- Historical daily, minute-level, and tick-level price data
- Fundamental data such as financial reports and dividend history
- Market intelligence with sector analysis and institutional holdings
- Technical indicators and analysis metrics
Use cases of China Stock MCP Server
- Build real-time dashboards for A-share market monitoring
- Perform historical backtesting using daily or minute-level price data
- Analyze company fundamentals with financial analysis indicators
- Track sector trends and concept board movements for market intelligence
- Apply technical indicators for trading signal generation
FAQ from China Stock MCP Server
Which stock exchanges are covered?
The server covers the Shanghai (SSE), Shenzhen (SZSE), and Beijing (BSE) stock exchanges.
What are the main dependencies?
The server depends on the AKShare library for Chinese financial data and the FastMCP framework for the MCP protocol.
How do I start the server?
After installation, run python main.py in the server directory.
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