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MCP BaoStock Server

@MCP-Mirror

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

MCP-Mirror

MCP BaoStock Server について

Mirror of

#stock-data#data-server#financial-analysis

MCP BaoStock Server の設定

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": {
    "HuggingAGI_mcp-baostock-server": {
      "command": "uv",
      "args": [
        "run",
        "mcp-baostock-server"
      ]
    }
  }
}

MCP BaoStock Server のツール

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。

概要

What is MCP BaoStock Server?

A stock data server built on BaoStock that provides multiple MCP interfaces for querying Chinese stock market data, including basic info, historical K-line data, industry classification, dividends, quarterly financial indicators, index data, and valuation metrics.

How to use MCP BaoStock Server?

Install dependencies (Python 3.10+, baostock, pandas) and run the server with uv run mcp-baostock-server. The server exposes nine MCP tools, each demonstrated with Python test cases for specific stocks and date ranges.

Key features of MCP BaoStock Server

  • Query stock basic information (listing date, industry)
  • Retrieve historical daily K-line data (with forward adjustment)
  • Look up industry classification for a stock
  • Get dividend and bonus distribution records
  • Access quarterly profitability, operational, and growth metrics
  • Fetch index data (e.g., CSI 300 daily line)
  • Obtain valuation indicators (P/E, P/B, etc.)

Use cases of MCP BaoStock Server

  • Analyze a stock’s historical price trends using adjusted K-line data
  • Retrieve dividend details for a given stock and year
  • Evaluate a company’s quarterly earnings, efficiency, and growth ratios
  • Compare index performance over a custom date range
  • Monitor valuation metrics (P/E, P/B) over time for individual stocks

よくある質問

1

What types of financial data does MCP BaoStock Server provide?

It provides stock basic info, K-line history, industry classification, dividends, quarterly financial indicators (profitability, operational capacity, growth capacity), index data, and valuation indicators.

2

What are the system requirements to run MCP BaoStock Server?

Python 3.10 or higher, plus the `baostock` and `pandas` Python packages.

3

How do I start the MCP BaoStock Server?

Run the command `uv run mcp-baostock-server` after installing the dependencies.

4

Are there example queries I can test?

Yes, the README includes Python test cases for each interface, e.g., fetching K-line data for Ping An Bank from 2023-01-01 to 2023-01-31 with forward adjustment.

5

How can I get support or ask questions?

You can contact the developer via WeChat: iamxxn683 (ID given in the README).

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