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24mlight

A-Share MCP Server

get_profit_data

Retrieve quarterly profitability data for A-share stocks to analyze financial performance by specifying stock code, year, and quarter.

Instructions

Quarterly profitability data.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYes
yearYes
quarterYes
limitNo
formatNomarkdown

Implementation Reference

  • The primary MCP tool handler for 'get_profit_data'. Defines input schema via parameters and docstring, handles execution by delegating to use case with error handling.
    @app.tool() def get_profit_data(code: str, year: str, quarter: int, limit: int = 250, format: str = "markdown") -> str: """Quarterly profitability data.""" return run_tool_with_handling( lambda: fetch_profit_data(active_data_source, code=code, year=year, quarter=quarter, limit=limit, format=format), context=f"get_profit_data:{code}:{year}Q{quarter}", )
  • mcp_server.py:52-52 (registration)
    Top-level registration invocation that registers the financial_reports tools module, including get_profit_data.
    register_financial_report_tools(app, active_data_source)
  • Use case helper invoked by the tool handler. Performs input validation, fetches raw data from data source, and formats output as markdown or other.
    def fetch_profit_data(data_source: FinancialDataSource, *, code: str, year: str, quarter: int, limit: int, format: str) -> str: validate_year(year) validate_quarter(quarter) validate_output_format(format) df = data_source.get_profit_data(code=code, year=year, quarter=quarter) return _format_financial_df(df, code=code, year=year, quarter=quarter, dataset="Profitability", format=format, limit=limit)
  • Data source implementation that fetches profitability data using Baostock's query_profit_data API.
    def get_profit_data(self, code: str, year: str, quarter: int) -> pd.DataFrame: """Fetches quarterly profitability data using Baostock.""" return _fetch_financial_data(bs.query_profit_data, "Profitability", code, year, quarter)

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