aster-info-mcp

Instructions

Fetch order book ticker 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, bidPrice, bidQty, askPrice, and askQty.

Raises:
    Exception: If the API request fails or data processing encounters an error.

Implementation Reference

• main.py:494-551 (handler)

  Handler function for the 'get_order_book_ticker' tool. Fetches best bid/ask prices and quantities from Aster Finance API (/fapi/v1/ticker/bookTicker), processes with pandas DataFrame, formats to Markdown table. Also serves as registration via @mcp.tool() decorator. Input schema via type hints and docstring.

  @mcp.tool()
  async def get_order_book_ticker(
      symbol: Optional[str] = None
  ) -> str:
      """
      Fetch order book ticker 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, bidPrice, bidQty, askPrice, and askQty.
      
      Raises:
          Exception: If the API request fails or data processing encounters an error.
      """
      endpoint = "/fapi/v1/ticker/bookTicker"
      
      # 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
              ticker_data = response.json()
              
              # Handle single symbol (dict) or all symbols (list of dicts)
              if isinstance(ticker_data, dict):
                  ticker_data = [ticker_data]
              
              # Create pandas DataFrame
              df = pd.DataFrame(ticker_data)
              
              # Select relevant columns and format numbers
              df = df[["symbol", "bidPrice", "bidQty", "askPrice", "askQty"]]
              df["bidPrice"] = df["bidPrice"].astype(float).round(8)
              df["bidQty"] = df["bidQty"].astype(float).round(8)
              df["askPrice"] = df["askPrice"].astype(float).round(8)
              df["askQty"] = df["askQty"].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 order book ticker data: {str(e)}")