Teradata MCP Server

Instructions

Implementation Reference

• src/teradata_mcp_server/tools/dba/dba_tools.py:11-46 (handler)

  The core handler function implementing the 'dba_tableSqlList' tool. It executes a SQL query to retrieve recent queries against a specified table from Teradata's query log views (DBC.QryLogSqlV and DBC.QryLogV), formats the results using utility functions, and returns a structured response with metadata.

  def handle_dba_tableSqlList(conn: TeradataConnection, table_name: str, no_days: int | None = 7,  *args, **kwargs):
      """
      Get a list of SQL run against a table in the last number of days.
  
      Arguments:
        table_name - table name
        no_days - number of days
  
      Returns:
        ResponseType: formatted response with query results + metadata
      """
      logger.debug(f"Tool: handle_dba_tableSqlList: Args: table_name: {table_name}, no_days: {no_days}")
  
      with conn.cursor() as cur:
          if table_name == "":
              logger.debug("No table name provided")
          else:
              logger.debug(f"Table name provided: {table_name}, returning SQL queries for this table.")
              rows = cur.execute(f"""SELECT t1.QueryID, t1.ProcID, t1.CollectTimeStamp, t1.SqlTextInfo, t2.UserName
              FROM DBC.QryLogSqlV t1
              JOIN DBC.QryLogV t2
              ON t1.QueryID = t2.QueryID
              WHERE t1.CollectTimeStamp >= CURRENT_TIMESTAMP - INTERVAL '{no_days}' DAY
              AND t1.SqlTextInfo LIKE '%{table_name}%'
              ORDER BY t1.CollectTimeStamp DESC;""")
  
          data = rows_to_json(cur.description, rows.fetchall())
          metadata = {
              "tool_name": "dba_tableSqlList",
              "table_name": table_name,
              "no_days": no_days,
              "total_queries": len(data)
          }
          logger.debug(f"Tool: handle_dba_tableSqlList: metadata: {metadata}")
          return create_response(data, metadata)