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maxscheijen

MCP Yahoo Finance

by maxscheijen

get_stock_price_date_range

Retrieve historical stock prices for a specific symbol within a defined date range using YYYY-MM-DD format, enabling detailed financial analysis.

Instructions

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

Input Schema

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

Implementation Reference

  • Core handler function implementing the tool logic: fetches historical stock data using yfinance for the given symbol and date range, serializes Close prices to 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 handler, where generate_tool creates and registers the tool schema for get_stock_price_date_range.
    @server.list_tools() async def list_tools() -> list[Tool]: return [ 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), generate_tool(yf.get_news), generate_tool(yf.get_recommendations), generate_tool(yf.get_option_expiration_dates), generate_tool(yf.get_option_chain), ]
  • Dispatch logic in the MCP server's call_tool handler that invokes the get_stock_price_date_range method with parsed arguments.
    case "get_stock_price_date_range": price = yf.get_stock_price_date_range(**args) return [TextContent(type="text", text=price)]
  • Helper function that generates the inputSchema and Tool object from the handler's signature and docstring, used for schema definition of get_stock_price_date_range and all other tools.
    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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