Teradata MCP Server

Instructions

Implementation Reference

• src/teradata_mcp_server/tools/qlty/qlty_tools.py:182-217 (handler)

  The core handler function that executes the tool logic: queries TD_UnivariateStatistics for all stats on the given table.column, formats results as JSON with metadata.

  def handle_qlty_univariateStatistics(
      conn: TeradataConnection,
      database_name: str | None,
      table_name: str,
      column_name: str,
      *args,
      **kwargs
  ):
      """
      Get the univariate statistics for 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_univariateStatistics: 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('ALL')) as dt ORDER BY 1,2")
          data = rows_to_json(cur.description, rows.fetchall())
          metadata = {
              "tool_name": "qlty_univariateStatistics",
              "database_name": database_name,
              "table_name": table_name,
              "column_name": column_name,
              "stats_calculated": ["ALL"],
              "rows": len(data)
          }
          logger.debug(f"Tool: handle_qlty_univariateStatistics: Metadata: {metadata}")
          return create_response(data, metadata)

• src/teradata_mcp_server/app.py:462-487 (registration)

  Dynamic registration of the tool: loads modules via ModuleLoader, finds handle_qlty_univariateStatistics function, derives tool name 'qlty_univariateStatistics', wraps it for MCP (injects conn, handles QueryBand), and registers with mcp.tool().

  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
          # Skip template tools (used for developer reference only)
          if tool_name.startswith("tmpl_"):
              logger.debug(f"Skipping template tool: {tool_name}")
              continue
          # Skip BAR tools if BAR functionality is disabled
          if tool_name.startswith("bar_") and not enableBAR:
              logger.info(f"Skipping BAR tool: {tool_name} (BAR functionality disabled)")
              continue
          # Skip chat completion tools if chat completion functionality is disabled
          if tool_name.startswith("chat_") and not enableChat:
              logger.info(f"Skipping chat completion tool: {tool_name} (chat completion functionality disabled)")
              continue
          wrapped = make_tool_wrapper(func)
          mcp.tool(name=tool_name, description=wrapped.__doc__)(wrapped)
          logger.info(f"Created tool: {tool_name}")
          logger.debug(f"Tool Docstring: {wrapped.__doc__}")
  else:

• src/teradata_mcp_server/tools/module_loader.py:21-34 (helper)

  ModuleLoader MODULE_MAP defines the 'qlty' module path for dynamic loading of qlty_tools.py containing the handler.

  MODULE_MAP = {
      'bar': 'teradata_mcp_server.tools.bar',
      'base': 'teradata_mcp_server.tools.base',
      'chat': 'teradata_mcp_server.tools.chat',
      'dba': 'teradata_mcp_server.tools.dba',
      'fs': 'teradata_mcp_server.tools.fs',
      'qlty': 'teradata_mcp_server.tools.qlty',
      'rag': 'teradata_mcp_server.tools.rag',
      'sql_opt': 'teradata_mcp_server.tools.sql_opt',
      'sec': 'teradata_mcp_server.tools.sec',
      'tmpl': 'teradata_mcp_server.tools.tmpl',
      'plot': 'teradata_mcp_server.tools.plot',
      'tdvs': 'teradata_mcp_server.tools.tdvs'
  }