get_current_stock_price
Retrieve current stock prices using Yahoo Finance data by providing a stock symbol. This tool enables users to access real-time financial information for investment decisions.
Instructions
Get the current stock price based on stock symbol.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | Stock symbol in Yahoo Finance format. |
Implementation Reference
- src/mcp_yahoo_finance/server.py:56-70 (handler)The handler function implementing the logic to fetch and format the current stock price for the given symbol using yfinance.Ticker.
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" ) - src/mcp_yahoo_finance/server.py:210-210 (registration)Registers the get_current_stock_price tool in the MCP server's list_tools() method using generate_tool to create the Tool object.
generate_tool(yf.get_current_stock_price), - src/mcp_yahoo_finance/server.py:223-225 (registration)Dispatches calls to the get_current_stock_price tool in the MCP server's call_tool() method.
case "get_current_stock_price": price = yf.get_current_stock_price(**args) return [TextContent(type="text", text=price)] - src/mcp_yahoo_finance/utils.py:31-65 (helper)Helper function that generates the MCP Tool schema (including input schema) from the handler function's signature and docstring, used for get_current_stock_price.
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)