Financial Datasets MCP Server

Instructions

Implementation Reference

• server.py:275-308 (handler)

  The main handler function for the 'get_historical_crypto_prices' tool. It is decorated with @mcp.tool() which handles both registration and schema inference from the signature and docstring. The function constructs an API URL, calls the make_request helper to fetch data from Financial Datasets API, extracts the prices, and returns them as JSON string.
  @mcp.tool() async def get_historical_crypto_prices( ticker: str, start_date: str, end_date: str, interval: str = "day", interval_multiplier: int = 1, ) -> str: """Gets historical prices for a crypto currency. Args: ticker: Ticker symbol of the crypto currency (e.g. BTC-USD). The list of available crypto tickers can be retrieved via the get_available_crypto_tickers tool. start_date: Start date of the price data (e.g. 2020-01-01) end_date: End date of the price data (e.g. 2020-12-31) interval: Interval of the price data (e.g. minute, hour, day, week, month) interval_multiplier: Multiplier of the interval (e.g. 1, 2, 3) """ # Fetch data from the API url = f"{FINANCIAL_DATASETS_API_BASE}/crypto/prices/?ticker={ticker}&interval={interval}&interval_multiplier={interval_multiplier}&start_date={start_date}&end_date={end_date}" data = await make_request(url) # Check if data is found if not data: return "Unable to fetch prices or no prices found." # Extract the prices prices = data.get("prices", []) # Check if prices are found if not prices: return "Unable to fetch prices or no prices found." # Stringify the prices return json.dumps(prices, indent=2)
• server.py:25-41 (helper)

  Helper function used by the tool (and others) to make authenticated HTTP requests to the Financial Datasets API, handling API key from env and errors.
  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:275-275 (registration)

  The @mcp.tool() decorator registers the function as an MCP tool, inferring schema from args and docstring.
  @mcp.tool()