nft-analytics-mcp

Instructions

Retrieve average selling price for NFT collections.

Args:
    limit (int, optional): Maximum number of rows to fetch from the query. Defaults to 1000.

Returns:
    str: Markdown table of average prices by collection, or error message if the query fails.

Implementation Reference

• main.py:88-103 (handler)

  The handler function for the 'get_average_price_by_collection' tool. It fetches the latest results from Dune query ID 5140470, converts to a Pandas DataFrame, and returns a Markdown table of average prices by collection.

  def get_average_price_by_collection(limit: int = 1000) -> str:
      """
      Retrieve average selling price for NFT collections.
  
      Args:
          limit (int, optional): Maximum number of rows to fetch from the query. Defaults to 1000.
  
      Returns:
          str: Markdown table of average prices by collection, or error message if the query fails.
      """
      try:
          data = get_latest_result(5140470, limit=limit)
          df = pd.DataFrame(data)
          return df.to_markdown()
      except Exception as e:
          return str(e)  

• main.py:87-87 (registration)

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

  @mcp.tool()

• main.py:21-44 (helper)

  Helper function used by the tool to fetch latest results from a specified Dune Analytics query.

  def get_latest_result(query_id: int, limit: int = 1000) -> list:
      """
      Fetch the latest results from a Dune Analytics query.
  
      Args:
          query_id (int): The ID of the Dune query to fetch results from.
          limit (int, optional): Maximum number of rows to return. Defaults to 1000.
  
      Returns:
          list: A list of dictionaries containing the query results, or an empty list if the request fails.
  
      Raises:
          httpx.HTTPStatusError: If the API request fails due to a client or server error.
      """
      url = f"{BASE_URL}/query/{query_id}/results"
      params = {"limit": limit}
      with httpx.Client() as client:
          response = client.get(url, params=params, headers=HEADERS, timeout=300)
          response.raise_for_status()
          data = response.json()
          
      result_data = data.get("result", {}).get("rows", [])
      return result_data