get_cashflow
Retrieve cash flow statements for stocks to analyze financial health and liquidity. Specify symbol and frequency (yearly, quarterly, trailing) for comprehensive cash flow data.
Instructions
Get cashflow for a given stock symbol.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | Yes | Stock symbol in Yahoo Finance format. | |
| freq | No | At what frequency to get cashflow statements. Defaults to "yearly". Valid freqencies: "yearly", "quarterly", "trainling" |
Implementation Reference
- src/mcp_yahoo_finance/server.py:155-172 (handler)Core handler function that executes the get_cashflow tool logic: fetches cashflow data from yfinance Ticker, processes DataFrame if present by converting column names to date strings, and returns formatted JSON.
def get_cashflow( self, symbol: str, freq: Literal["yearly", "quarterly", "trainling"] = "yearly" ): """Get cashflow for a given stock symbol. Args: symbol (str): Stock symbol in Yahoo Finance format. freq (str): At what frequency to get cashflow statements. Defaults to "yearly". Valid freqencies: "yearly", "quarterly", "trainling" """ stock = Ticker(ticker=symbol, session=self.session) cashflow = stock.get_cashflow(freq=freq, pretty=True) if isinstance(cashflow, pd.DataFrame): cashflow.columns = [str(col.date()) for col in cashflow.columns] return f"{cashflow.to_json(indent=2)}" return f"{cashflow}" - src/mcp_yahoo_finance/server.py:204-218 (registration)Registers the get_cashflow tool by including generate_tool(yf.get_cashflow) in the list returned from server.list_tools().
@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), ] - src/mcp_yahoo_finance/server.py:241-243 (handler)Dispatch handler in server.call_tool() that invokes the get_cashflow method when the tool name matches.
case "get_cashflow": price = yf.get_cashflow(**args) return [TextContent(type="text", text=price)] - src/mcp_yahoo_finance/utils.py:31-66 (helper)Helper function used to generate the input schema and Tool object for get_cashflow based on 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)