mcp-luma-dream-machine

Instructions

Implementation Reference

• src/luma_ai_mcp_server/server.py:461-472 (handler)

  The handler function that executes the get_credits tool by calling the Luma API /credits endpoint and formatting the credit balance.
  async def get_credits(parameters: dict) -> str: """Get the credit information for the current user.""" try: result = await _make_luma_request("GET", "/credits") if not isinstance(result, dict): raise ValueError("Invalid response from API") return f"Credit Information:\nAvailable Credits: {result.get('credit_balance', 0)}" except Exception as e: logger.error(f"Error in get_credits: {str(e)}", exc_info=True) return f"Error retrieving credit information: {str(e)}"
• src/luma_ai_mcp_server/server.py:202-203 (schema)

  Pydantic input schema for the get_credits tool (no parameters required).
  class GetCreditsInput(BaseModel): pass
• src/luma_ai_mcp_server/server.py:538-542 (registration)

  Registration of the get_credits tool in the list_tools() function.
  Tool( name=LumaTools.GET_CREDITS, description="Gets credit information for the current user", inputSchema=GetCreditsInput.model_json_schema(), ),
• src/luma_ai_mcp_server/server.py:587-589 (registration)

  Dispatch case for get_credits in the call_tool() function.
  case LumaTools.GET_CREDITS: result = await get_credits(arguments) return [TextContent(type="text", text=result)]
• src/luma_ai_mcp_server/server.py:103-103 (registration)

  Tool name constant in LumaTools enum.
  GET_CREDITS = "get_credits"