MCP Yahoo Finance

Instructions

Input Schema

Input Schema (JSON Schema)

Implementation Reference

• src/mcp_yahoo_finance/server.py:100-119 (handler)

  Core handler function in YahooFinance class that fetches the income statement using yfinance Ticker.get_income_stmt, formats dates, and returns as JSON string.
  def get_income_statement( self, symbol: str, freq: Literal["yearly", "quarterly", "trainling"] = "yearly" ) -> str: """Get income statement 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) income_statement = stock.get_income_stmt(freq=freq, pretty=True) if isinstance(income_statement, pd.DataFrame): income_statement.columns = [ str(col.date()) for col in income_statement.columns ] return f"{income_statement.to_json()}" return f"{income_statement}"
• src/mcp_yahoo_finance/server.py:220-235 (registration)

  Tool registration in the list_tools handler, including generate_tool(yf.get_income_statement) to provide the tool schema.
  @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), ]
• src/mcp_yahoo_finance/server.py:255-257 (registration)

  Dispatch registration in call_tool handler that invokes the get_income_statement method.
  case "get_income_statement": price = yf.get_income_statement(**args) return [TextContent(type="text", text=price)]
• src/mcp_yahoo_finance/utils.py:31-66 (schema)

  generate_tool function that dynamically creates the Tool schema (including inputSchema) from the handler's 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)
• src/mcp_yahoo_finance/utils.py:7-28 (helper)

  Helper function to parse docstrings for parameter descriptions used in schema generation.
  def parse_docstring(docstring: str) -> dict[str, str]: """Parses a Google-style docstring to extract parameter descriptions.""" descriptions = {} if not docstring: return descriptions lines = docstring.split("\n") current_param = None for line in lines: line = line.strip() if line.startswith("Args:"): continue elif line and "(" in line and ")" in line and ":" in line: param = line.split("(")[0].strip() desc = line.split("):")[1].strip() descriptions[param] = desc current_param = param elif current_param and line: descriptions[current_param] += " " + line.strip() return descriptions