dex-metrics-mcp

Instructions

Implementation Reference

• main.py:129-150 (handler)

  The handler function decorated with @mcp.tool() implements the core logic: fetches data from Dune query 4323, processes it into a pivot table by date and DEX project using pandas, and returns markdown. Includes input validation via type hints and docstring, error handling.
  @mcp.tool() def get_weekly_trading_volume_by_dex(limit: int = 1000) -> str: """ Retrieve weekly trading volume by decentralized exchange (DEX). This tool fetches weekly trading volume data for various DEXs from a Dune Analytics query and returns it in a markdown-formatted pivot table, with dates as the index and DEX projects as columns. Args: limit (int, optional): Maximum number of rows to retrieve from the query. Defaults to 1000. Returns: str: A markdown-formatted pivot table of trading volume data, or an error message if the query fails. """ try: data = get_latest_result(4323, limit=limit) df = pd.DataFrame(data) df["date"] = pd.to_datetime(df["_col1"]).dt.date pivot_df = df.pivot(index="date", columns="project", values="usd_volume") pivot_df = pivot_df.sort_index(ascending=False) return pivot_df.to_markdown() except Exception as e: return str(e)
• main.py:21-43 (helper)

  Supporting helper function used by the tool to fetch the latest execution results from a specified Dune Analytics query using the Dune API.
  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