Teradata MCP Server

Instructions

Implementation Reference

• src/teradata_mcp_server/tools/qlty/qlty_tools.py:110-146 (handler)

  The handler function that implements the core logic of the qlty_standardDeviation tool. It executes a Teradata query using TD_UnivariateStatistics to compute MEAN and STD for the specified column.

  def handle_qlty_standardDeviation(
      conn: TeradataConnection,
      database_name: str | None,
      table_name: str,
      column_name: str,
      *args,
      **kwargs
  ):
      """
      Get the standard deviation from column in a table.
  
      Arguments:
        database_name - name of the database
        table_name - table name to analyze
        column_name - column name to analyze
  
      Returns:
        ResponseType: formatted response with query results + metadata
      """
      logger.debug(f"Tool: handle_qlty_standardDeviation: Args: table_name: {database_name}.{table_name}, column_name: {column_name}")
  
      if database_name is not None:
              table_name = f"{database_name}.{table_name}"
  
      with conn.cursor() as cur:
          rows = cur.execute(f"select * from TD_UnivariateStatistics ( on {table_name} as InputTable using TargetColumns ('{column_name}') Stats('MEAN','STD')) as dt ORDER BY 1,2")
          data = rows_to_json(cur.description, rows.fetchall())
          metadata = {
              "tool_name": "qlty_standardDeviation",
              "database_name": database_name,
              "table_name": table_name,
              "column_name": column_name,
              "stats_calculated": ["MEAN", "STD"],
              "rows": len(data)
          }
          logger.debug(f"Tool: handle_qlty_standardDeviation: Metadata: {metadata}")
          return create_response(data, metadata)

• src/teradata_mcp_server/app.py:270-283 (registration)

  The code that dynamically registers all handler functions (including handle_qlty_standardDeviation as 'qlty_standardDeviation') as MCP tools using FastMCP's mcp.tool decorator, with schema inferred from function signatures.

  module_loader = td.initialize_module_loader(config)
  if module_loader:
      all_functions = module_loader.get_all_functions()
      for name, func in all_functions.items():
          if not (inspect.isfunction(func) and name.startswith("handle_")):
              continue
          tool_name = name[len("handle_"):]
          if not any(re.match(p, tool_name) for p in config.get('tool', [])):
              continue
          wrapped = make_tool_wrapper(func)
          mcp.tool(name=tool_name, description=wrapped.__doc__)(wrapped)
          logger.info(f"Created tool: {tool_name}")
  else:
      logger.warning("No module loader available, skipping code-defined tool registration")