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marckwei

MCP Yahoo Finance

by marckwei

get_stock_price_date_range

Retrieve historical stock prices for a specific symbol within a defined date range using Yahoo Finance data.

Instructions

Get the stock prices for a given date range for a given stock symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol in Yahoo Finance format.
start_dateYesThe start date in YYYY-MM-DD format.
end_dateYesThe end date in YYYY-MM-DD format.

Implementation Reference

  • Core implementation of the tool: fetches historical closing prices for the given stock symbol over the specified date range using yfinance, formats index as strings, and returns JSON.
    def get_stock_price_date_range(
        self, symbol: str, start_date: str, end_date: str
    ) -> str:
        """Get the stock prices for a given date range for a given stock symbol.
    
        Args:
            symbol (str): Stock symbol in Yahoo Finance format.
            start_date (str): The start date in YYYY-MM-DD format.
            end_date (str): The end date in YYYY-MM-DD format.
        """
        stock = Ticker(ticker=symbol, session=self.session)
        prices = stock.history(start=start_date, end=end_date)
        prices.index = prices.index.astype(str)
        return f"{prices['Close'].to_json(orient='index')}"
  • Tool registration in the MCP server's list_tools decorator method, specifically line 212 registers get_stock_price_date_range using generate_tool.
    @server.list_tools()
    async def list_tools() -> list[Tool]:
        return [            
            generate_tool(yf.cmd_run),
            generate_tool(yf.get_recommendations),
            generate_tool(yf.get_news),
            generate_tool(yf.get_current_stock_price),
            generate_tool(yf.get_stock_price_by_date),
            generate_tool(yf.get_stock_price_date_range),
            generate_tool(yf.get_historical_stock_prices),
            generate_tool(yf.get_dividends),
            generate_tool(yf.get_income_statement),
            generate_tool(yf.get_cashflow),
            generate_tool(yf.get_earning_dates),
        ]
  • Dispatch logic in the MCP server's call_tool method that calls the tool handler with arguments and returns the result as TextContent.
    case "get_stock_price_date_range":
        price = yf.get_stock_price_date_range(**args)
        return [TextContent(type="text", text=price)]
  • Helper function generate_tool that dynamically generates the tool's input schema from the Python function signature, type annotations, and Google-style docstring.
    def generate_tool(func: Any) -> Tool:
        """Generates a tool schema from a Python function."""
        signature = inspect.signature(func)
        docstring = inspect.getdoc(func) or ""
        param_descriptions = parse_docstring(docstring)
    
        schema = {
            "name": func.__name__,
            "description": docstring.split("Args:")[0].strip(),
            "inputSchema": {
                "type": "object",
                "properties": {},
            },
        }
    
        for param_name, param in signature.parameters.items():
            param_type = (
                "number"
                if param.annotation is float
                else "string"
                if param.annotation is str
                else "string"
            )
            schema["inputSchema"]["properties"][param_name] = {
                "type": param_type,
                "description": param_descriptions.get(param_name, ""),
            }
    
            if "required" not in schema["inputSchema"]:
                schema["inputSchema"]["required"] = [param_name]
            else:
                if "=" not in str(param):
                    schema["inputSchema"]["required"].append(param_name)
    
        return Tool(**schema)

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