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financial-datasets

Financial Datasets MCP Server

Official

get_balance_sheets

Retrieve company balance sheets by entering a ticker symbol, specifying period (annual/quarterly), and setting result limits for financial analysis.

Instructions

Get balance sheets for a company.

Args:
    ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
    period: Period of the balance sheet (e.g. annual, quarterly, ttm)
    limit: Number of balance sheets to return (default: 4)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes
periodNoannual
limitNo

Implementation Reference

  • The handler function for the 'get_balance_sheets' tool. It is decorated with @mcp.tool(), which also serves as registration. Fetches balance sheets data from the Financial Datasets API based on ticker, period, and limit, then returns JSON-formatted data.
    @mcp.tool()
    async def get_balance_sheets(
        ticker: str,
        period: str = "annual",
        limit: int = 4,
    ) -> str:
        """Get balance sheets for a company.
    
        Args:
            ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
            period: Period of the balance sheet (e.g. annual, quarterly, ttm)
            limit: Number of balance sheets to return (default: 4)
        """
        # Fetch data from the API
        url = f"{FINANCIAL_DATASETS_API_BASE}/financials/balance-sheets/?ticker={ticker}&period={period}&limit={limit}"
        data = await make_request(url)
    
        # Check if data is found
        if not data:
            return "Unable to fetch balance sheets or no balance sheets found."
    
        # Extract the balance sheets
        balance_sheets = data.get("balance_sheets", [])
    
        # Check if balance sheets are found
        if not balance_sheets:
            return "Unable to fetch balance sheets or no balance sheets found."
    
        # Stringify the balance sheets
        return json.dumps(balance_sheets, indent=2)
  • Helper function used by get_balance_sheets to make authenticated HTTP requests to the Financial Datasets API.
    async def make_request(url: str) -> dict[str, any] | None:
        """Make a request to the Financial Datasets API with proper error handling."""
        # Load environment variables from .env file
        load_dotenv()
        
        headers = {}
        if api_key := os.environ.get("FINANCIAL_DATASETS_API_KEY"):
            headers["X-API-KEY"] = api_key
    
        async with httpx.AsyncClient() as client:
            try:
                response = await client.get(url, headers=headers, timeout=30.0)
                response.raise_for_status()
                return response.json()
            except Exception as e:
                return {"Error": str(e)}

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