get_cash_flow_statements
Retrieve cash flow statements for companies to analyze financial health by providing ticker symbols, period options, and statement limits.
Instructions
Get cash flow statements for a company.
Args:
ticker: Ticker symbol of the company (e.g. AAPL, GOOGL)
period: Period of the cash flow statement (e.g. annual, quarterly, ttm)
limit: Number of cash flow statements to return (default: 4)Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ticker | Yes | ||
| period | No | annual | |
| limit | No |
Implementation Reference
- server.py:107-136 (handler)This is the handler function for the 'get_cash_flow_statements' tool. It is registered via the @mcp.tool() decorator. The function fetches cash flow statements from the Financial Datasets API for a given ticker, period, and limit, handles errors, and returns the data as a JSON string.
@mcp.tool() async def get_cash_flow_statements( ticker: str, period: str = "annual", limit: int = 4, ) -> str: """Get cash flow statements for a company. Args: ticker: Ticker symbol of the company (e.g. AAPL, GOOGL) period: Period of the cash flow statement (e.g. annual, quarterly, ttm) limit: Number of cash flow statements to return (default: 4) """ # Fetch data from the API url = f"{FINANCIAL_DATASETS_API_BASE}/financials/cash-flow-statements/?ticker={ticker}&period={period}&limit={limit}" data = await make_request(url) # Check if data is found if not data: return "Unable to fetch cash flow statements or no cash flow statements found." # Extract the cash flow statements cash_flow_statements = data.get("cash_flow_statements", []) # Check if cash flow statements are found if not cash_flow_statements: return "Unable to fetch cash flow statements or no cash flow statements found." # Stringify the cash flow statements return json.dumps(cash_flow_statements, indent=2) - server.py:25-41 (helper)Helper function used by get_cash_flow_statements (and other tools) to make authenticated API 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)} - server.py:107-107 (registration)The @mcp.tool() decorator registers the get_cash_flow_statements function as an MCP tool.
@mcp.tool()