China Stock MCP

Instructions

Implementation Reference

• src/china_stock_mcp/server.py:315-326 (handler)

  The main handler function decorated with @mcp.tool for the 'get_news_data' tool. It takes symbol and output_format, fetches news data from 'eastmoney' via ako.get_news_data, and returns formatted output.

  @mcp.tool(name="get_news_data", description="获取股票相关的新闻数据")
  def get_news_data(
      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:
      """获取股票相关新闻数据."""
      df = ako.get_news_data(symbol=symbol, source="eastmoney")
      return _format_dataframe_output(df, output_format)

• src/china_stock_mcp/server.py:317-322 (schema)

  Input schema using Pydantic Annotated types and Field for validation and descriptions.

      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:

• src/china_stock_mcp/server.py:315-315 (registration)

  The @mcp.tool decorator registers the function as an MCP tool with name 'get_news_data'.

  @mcp.tool(name="get_news_data", description="获取股票相关的新闻数据")

• src/china_stock_mcp/server.py:89-117 (helper)

  Supporting utility to format the DataFrame result into various output formats like json, csv, etc., called by the handler.

  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)