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marckwei

MCP Yahoo Finance

by marckwei

get_news

Retrieve stock-related news for a specified symbol using Yahoo Finance data. Stay updated on company developments and market trends directly through structured input.

Instructions

Get news for a given stock symbol.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
symbolYesStock symbol in Yahoo Finance format.

Implementation Reference

  • Core implementation of the get_news tool handler in the YahooFinance class. Fetches news headlines for the stock symbol using yfinance.Ticker.news and serializes to JSON.
    def get_news(self, symbol: str) -> str: """Get news for a given stock symbol. Args: symbol (str): Stock symbol in Yahoo Finance format. """ stock = Ticker(ticker=symbol, session=self.session) return json.dumps(stock.news, indent=2)
  • The generate_tool utility generates the JSON schema for the 'get_news' tool (and others) from the Python function signature, type annotations, 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)
  • Registration of the get_news tool in the MCP server's list_tools() handler via generate_tool(yf.get_news).
    @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 call_tool() handler that invokes the get_news method and formats the response as TextContent.
    case "get_news": price = yf.get_news(**args) return [TextContent(type="text", text=price)]

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