get_mark_price_kline

Instructions

Fetch Mark Price Kline/Candlestick data from Aster Finance API and return as Markdown table text.

Parameters:
    symbol (str): Trading pair symbol (e.g., 'BTCUSDT', 'ETHUSDT'). Case-insensitive.
    interval (str): Kline interval (e.g., '1m' for 1 minute, '1h' for 1 hour, '1d' for 1 day).
    startTime (Optional[int]): Start time in milliseconds since Unix epoch. If None, defaults to API behavior.
    endTime (Optional[int]): End time in milliseconds since Unix epoch. If None, defaults to API behavior.
    limit (Optional[int]): Number of Klines to return (1 to 1500). If None, defaults to 500.

Returns:
    str: Markdown table containing open_time, open, high, low, and close.

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

Implementation Reference

• main.py:172-245 (handler)

  The handler function decorated with @mcp.tool() that implements the get_mark_price_kline tool. It fetches Mark Price Kline data from the Aster Finance API (/fapi/v1/markPriceKlines), processes it into a pandas DataFrame, formats it, and returns a Markdown table.

  @mcp.tool()
  async def get_mark_price_kline(
      symbol: str,
      interval: str,
      startTime: Optional[int] = None,
      endTime: Optional[int] = None,
      limit: Optional[int] = None
  ) -> str:
      """
      Fetch Mark Price Kline/Candlestick data from Aster Finance API and return as Markdown table text.
      
      Parameters:
          symbol (str): Trading pair symbol (e.g., 'BTCUSDT', 'ETHUSDT'). Case-insensitive.
          interval (str): Kline interval (e.g., '1m' for 1 minute, '1h' for 1 hour, '1d' for 1 day).
          startTime (Optional[int]): Start time in milliseconds since Unix epoch. If None, defaults to API behavior.
          endTime (Optional[int]): End time in milliseconds since Unix epoch. If None, defaults to API behavior.
          limit (Optional[int]): Number of Klines to return (1 to 1500). If None, defaults to 500.
      
      Returns:
          str: Markdown table containing open_time, open, high, low, and close.
      
      Raises:
          Exception: If the API request fails or data processing encounters an error.
      """
      endpoint = "/fapi/v1/markPriceKlines"
      
      # Construct query parameters
      params = {
          "symbol": symbol.upper(),  # Ensure symbol is uppercase (e.g., BTCUSDT)
          "interval": interval,      # e.g., 1m, 1h, 1d
      }
      if startTime is not None:
          params["startTime"] = startTime
      if endTime is not None:
          params["endTime"] = endTime
      if limit is not None:
          params["limit"] = limit
  
      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
              kline_data: List[List[Any]] = response.json()
              
              # Create pandas DataFrame
              df = pd.DataFrame(kline_data, columns=[
                  "open_time", "open", "high", "low", "close", "volume",
                  "close_time", "ignore1", "ignore2", "ignore3", "ignore4", "ignore5"
              ])
              
              # Convert timestamps to readable format
              df["open_time"] = pd.to_datetime(df["open_time"], unit="ms")
              
              # Select relevant columns and format numbers
              df = df[["open_time", "open", "high", "low", "close"]]
              df["open"] = df["open"].astype(float).round(8)
              df["high"] = df["high"].astype(float).round(8)
              df["low"] = df["low"].astype(float).round(8)
              df["close"] = df["close"].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 Mark Price Kline data: {str(e)}")            

• main.py:172-172 (registration)

  The @mcp.tool() decorator registers the get_mark_price_kline function as an MCP tool.

  @mcp.tool()

• main.py:173-179 (schema)

  Function signature defines the input schema (parameters with types) and output type for the tool, used by FastMCP for validation.

  async def get_mark_price_kline(
      symbol: str,
      interval: str,
      startTime: Optional[int] = None,
      endTime: Optional[int] = None,
      limit: Optional[int] = None
  ) -> str: