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dex-metrics-mcp

get_yoy_monthly_trading_volume_by_aggragator

Analyze year-over-year monthly trading volume trends for aggregators using Dune Analytics data, presented in a markdown pivot table format.

Instructions

Retrieve year-over-year monthly trading volume by aggregator.

This tool fetches year-over-year monthly trading volume data for aggregators from a Dune Analytics query and returns it in a markdown-formatted pivot table, with years as the index and months 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.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo

Implementation Reference

  • main.py:175-195 (handler)
    The main handler function for the tool 'get_yoy_monthly_trading_volume_by_aggragator'. It is decorated with @mcp.tool() which serves as both the implementation and registration. Fetches data from Dune query 4424 using the helper get_latest_result, pivots the data by year and month, and returns a markdown table.
    @mcp.tool()
    def get_yoy_monthly_trading_volume_by_aggragator(limit: int = 1000) -> str:
        """
        Retrieve year-over-year monthly trading volume by aggregator.
    
        This tool fetches year-over-year monthly trading volume data for aggregators from a Dune Analytics query and returns it in a markdown-formatted pivot table, with years as the index and months 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(4424, limit=limit)
            df = pd.DataFrame(data)
            pivot_df = df.pivot(index="year", columns="month", 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)
    Shared helper function used by multiple tools, including this one, to fetch latest results from a specified Dune Analytics query ID.
    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

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