memecoin-radar-mcp

Instructions

Args:
    source (str): The platform to query tokens from. Must be one of: 'Telegram', 'Web', 'Mobile'.
        Defaults to 'Telegram'.
    limit (int): Maximum number of tokens to return. Defaults to 100.

Returns:
    str: A formatted table of trending tokens including rank, token name, mint address,
        trading volume, and total trades, or an error message if the query fails.

Raises:
    ValueError: If an invalid source value is provided.
    httpx.HTTPStatusError: If the Dune API request fails.

Implementation Reference

• main.py:56-95 (handler)

  The handler function decorated with @mcp.tool() that implements the get_trending_tokens_by_source tool. It fetches data from Dune API queries based on the source (Telegram, Web, Mobile), processes the rows into a table format using helpers, and returns a markdown table or error message.

  def get_trending_tokens_by_source(source: str = "Telegram", limit: int = 100) -> str:
      """Retrieve top traded tokens on specified source platform in the last 12 hours.
  
      Args:
          source (str): The platform to query tokens from. Must be one of: 'Telegram', 'Web', 'Mobile'.
              Defaults to 'Telegram'.
          limit (int): Maximum number of tokens to return. Defaults to 100.
  
      Returns:
          str: A formatted table of trending tokens including rank, token name, mint address,
              trading volume, and total trades, or an error message if the query fails.
  
      Raises:
          ValueError: If an invalid source value is provided.
          httpx.HTTPStatusError: If the Dune API request fails.
      """
      query_ids = {
          "Telegram": 4830187,
          "Web": 4830192,
          "Mobile": 4930328,
      }    
      try:
          query_id = query_ids.get(source)
          if query_id is None:
              raise ValueError("Invalid source value. Allowed: Telegram | Web | Mobile")
          data = get_latest_result(query_id, limit=limit)
          rows = [
              [ 
                  row["rank"], 
                  strip_a_tag(row["token_link"]), 
                  row["token_mint_address"], 
                  f'${row["total_volume_usd"]:.2f}', 
                  row["total_trades"] 
              ]
              for row in data
          ]
          headers = ["Rank", "Token", "Mint Address", "Volume(12h)", "Total Trades"]    
          return f"# Top {limit} Trending Tokens on {source} - Last 12 Hours\n\n" + tabulate(rows, headers=headers)
      except Exception as e:
          return str(e)

• main.py:23-46 (helper)

  Helper function to retrieve the latest execution results from a specified Dune Analytics query ID, used by the tool to fetch raw data.

  def get_latest_result(query_id: int, limit: int = 1000):
      """
      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

• main.py:47-50 (helper)

  Helper utility to extract text content from HTML anchor tags, used to clean token names in the tool's output.

  def strip_a_tag(html):
      match = re.search(r'>(.*?)</a>', html)
      return match.group(1) if match else html