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financial-datasets

Financial Datasets MCP Server

Official

get_crypto_prices

Retrieve historical cryptocurrency price data for analysis by specifying ticker, date range, and interval parameters.

Instructions

Gets historical prices for a crypto currency.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerYes
start_dateYes
end_dateYes
intervalNoday
interval_multiplierNo

Implementation Reference

  • The handler function decorated with @mcp.tool() for the get_crypto_prices MCP tool. It fetches historical cryptocurrency prices from the Financial Datasets API based on ticker, date range, and interval parameters, handles errors, and returns the prices as a formatted JSON string.
    @mcp.tool()
    async def get_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.
        """
        # 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)
  • Helper function used by the get_crypto_prices tool to make authenticated HTTP GET requests to the Financial Datasets API, loading API key from environment, handling timeouts 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)}
  • Constant defining the base URL for the Financial Datasets API, used in constructing endpoints for crypto prices.
    FINANCIAL_DATASETS_API_BASE = "https://api.financialdatasets.ai"

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