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MCP Yahoo Finance

by marckwei

get_current_stock_price

Retrieve the current stock price using a stock symbol from Yahoo Finance. This tool enables users to quickly access real-time financial data for informed decision-making.

Instructions

Get the current stock price based on stock symbol.

Input Schema

NameRequiredDescriptionDefault
symbolYesStock symbol in Yahoo Finance format.

Input Schema (JSON Schema)

{ "properties": { "symbol": { "description": "Stock symbol in Yahoo Finance format.", "type": "string" } }, "required": [ "symbol" ], "type": "object" }

Implementation Reference

  • The core handler function that implements the logic to fetch the current stock price using yfinance Ticker's info dictionary.
    def get_current_stock_price(self, symbol: str) -> str: """Get the current stock price based on stock symbol. Args: symbol (str): Stock symbol in Yahoo Finance format. """ stock = Ticker(ticker=symbol, session=self.session).info current_price = stock.get( "regularMarketPrice", stock.get("currentPrice", "N/A") ) return ( f"{current_price:.4f}" if current_price else f"Couldn't fetch {symbol} current price" )
  • Registration of the tool in the MCP server's list_tools() method using generate_tool utility.
    generate_tool(yf.get_current_stock_price),
  • Dispatch handler in MCP server's call_tool() method that invokes the get_current_stock_price function.
    case "get_current_stock_price": price = yf.get_current_stock_price(**args) return [TextContent(type="text", text=price)]
  • Utility function that automatically generates the MCP Tool object, including input schema from function signature and 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)
  • Dynamic generation of the tool's input schema based on function parameters, types, and docstring descriptions.
    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)

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