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xinkuang

China Stock MCP

by xinkuang

get_income_statement

Retrieve income statement data for Chinese stocks by entering a stock symbol to analyze company financial performance and profitability metrics.

Instructions

获取指定股票代码的公司的利润表

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYes股票代码 (例如: '000001')
output_formatNo输出数据格式: json, csv, xml, excel, markdown, html。默认: markdownmarkdown

Implementation Reference

  • The handler function decorated with @mcp.tool that implements the core logic for fetching and formatting the income statement data for a given stock symbol using ako.get_income_statement from akshare_one.
    @mcp.tool(name="get_income_statement", description="获取指定股票代码的公司的利润表")
    def get_income_statement(
        symbol: Annotated[str, Field(description="股票代码 (例如: '000001')")],
        output_format: Annotated[
            Literal["json", "csv", "xml", "excel", "markdown", "html"],
            Field(description="输出数据格式: json, csv, xml, excel, markdown, html。默认: markdown"),
        ] = "markdown"
    ) -> str:
        """获取公司利润表数据."""
        df = ako.get_income_statement(symbol=symbol, source="sina")
        if df.empty:
            df = pd.DataFrame()
        return _format_dataframe_output(df, output_format)
  • Supporting utility function used by the tool to format the fetched DataFrame into various output formats (JSON, CSV, XML, Excel, Markdown, HTML).
    def _format_dataframe_output(
        df: pd.DataFrame,
        output_format: Literal["json", "csv", "xml", "excel", "markdown", "html"],
    ) -> str:
        """
        根据指定的格式格式化 DataFrame 输出。
        """
        if df.empty:
            return json.dumps([])
    
        if output_format == "json":
            return df.to_json(orient="records", force_ascii=False)
        elif output_format == "csv":
            return df.to_csv(index=False)
        elif output_format == "xml":
            return df.to_xml(index=False)
        elif output_format == "excel":
            # 使用 BytesIO 将 Excel 写入内存
            output = io.BytesIO()
            df.to_excel(output, index=False, engine='openpyxl')
            # 返回 base64 编码的二进制数据,或者直接返回字节流
            # 为了兼容性,这里尝试返回 utf-8 编码的字符串,但对于二进制文件,通常直接传输字节流更合适
            return output.getvalue().decode("utf-8", errors="ignore")
        elif output_format == "markdown":
            return df.to_markdown(index=False)
        elif output_format == "html":
            return df.to_html(index=False)
        else:
            return df.to_json(orient="records", force_ascii=False)

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