get_latest_price
Fetch current cryptocurrency prices from Aster Finance API. Returns data as a Markdown table for specified or all trading pairs.
Instructions
Fetch latest price data from Aster Finance API and return as Markdown table text.
Parameters:
symbol (Optional[str]): Trading pair symbol (e.g., 'BTCUSDT', 'ETHUSDT'). Case-insensitive.
If None, returns data for all symbols.
Returns:
str: Markdown table containing symbol and price.
Raises:
Exception: If the API request fails or data processing encounters an error.Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| symbol | No |
Implementation Reference
- main.py:438-491 (handler)The main handler function for the 'get_latest_price' tool. It fetches the latest price data from the Aster Finance API (/fapi/v1/ticker/price), processes it using pandas into a DataFrame, formats the price to 8 decimal places, and returns it as a Markdown table. Supports optional symbol parameter; if none, returns all symbols. Includes type hints for input/output and comprehensive error handling.
async def get_latest_price( symbol: Optional[str] = None ) -> str: """ Fetch latest price data from Aster Finance API and return as Markdown table text. Parameters: symbol (Optional[str]): Trading pair symbol (e.g., 'BTCUSDT', 'ETHUSDT'). Case-insensitive. If None, returns data for all symbols. Returns: str: Markdown table containing symbol and price. Raises: Exception: If the API request fails or data processing encounters an error. """ endpoint = "/fapi/v1/ticker/price" # Construct query parameters params = {} if symbol is not None: params["symbol"] = symbol.upper() # Ensure symbol is uppercase (e.g., BTCUSDT) async with httpx.AsyncClient() as client: try: # Make GET request to the API response = await client.get(f"{BASE_URL}{endpoint}", params=params) response.raise_for_status() # Raise exception for 4xx/5xx errors # Parse JSON response price_data = response.json() # Handle single symbol (dict) or all symbols (list of dicts) if isinstance(price_data, dict): price_data = [price_data] # Create pandas DataFrame df = pd.DataFrame(price_data) # Select relevant columns and format numbers df = df[["symbol", "price"]] df["price"] = df["price"].astype(float).round(8) # Convert DataFrame to Markdown table markdown_table = df.to_markdown(index=False) return markdown_table except httpx.HTTPStatusError as e: # Handle HTTP errors (e.g., 400, 429) raise Exception(f"API request failed: {e.response.status_code} - {e.response.text}") except Exception as e: # Handle other errors (e.g., network issues, pandas errors) raise Exception(f"Error processing latest price data: {str(e)}") - main.py:438-438 (registration)The @mcp.tool() decorator registers the get_latest_price function as an MCP tool in the FastMCP server.
async def get_latest_price( - main.py:439-440 (schema)Function signature providing type hints: accepts optional symbol (str) and returns str (Markdown table). Docstring details parameters, return value, and exceptions.
symbol: Optional[str] = None ) -> str: