China Stock MCP

Instructions

Implementation Reference

• src/china_stock_mcp/server.py:911-926 (handler)

  Main handler function for the 'get_stock_a_code_name' tool. Fetches A-share stock codes and names using akshare, caches the result, formats output as specified.

  def get_stock_a_code_name(
      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:
      """获取沪深京 A 股股票代码和股票简称数据."""
      
      @cached_data_fetch()
      def get_stock_a_code_name_fetch() -> pd.DataFrame:
          return ak.stock_info_a_code_name()
      
      df = get_stock_a_code_name_fetch()
      if df.empty:
          df = pd.DataFrame()
      return _format_dataframe_output(df, output_format)

• src/china_stock_mcp/server.py:908-910 (registration)

  Registration of the 'get_stock_a_code_name' tool using @mcp.tool decorator.

  @mcp.tool(
      name="get_stock_a_code_name", description="获取沪深京 A 股股票代码和股票简称数据"
  )

• src/china_stock_mcp/server.py:919-922 (helper)

  Cached helper function that fetches the stock data from ak.stock_info_a_code_name().

  @cached_data_fetch()
  def get_stock_a_code_name_fetch() -> pd.DataFrame:
      return ak.stock_info_a_code_name()

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

  General helper function to format DataFrame output in various formats (json, csv, etc.), used by the tool.

  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)