Skip to main content
Glama
vparlapalli490

ServiceNow MCP Server

create_change_request

Create a new change request in ServiceNow to document and track IT infrastructure modifications, including details like type, risk, impact, and assignment.

Instructions

Create a new change request in ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
short_descriptionYesShort description of the change request
descriptionNoDetailed description of the change request
typeYesType of change (normal, standard, emergency)
riskNoRisk level of the change
impactNoImpact of the change
categoryNoCategory of the change
requested_byNoUser who requested the change
assignment_groupNoGroup assigned to the change
start_dateNoPlanned start date (YYYY-MM-DD HH:MM:SS)
end_dateNoPlanned end date (YYYY-MM-DD HH:MM:SS)

Implementation Reference

  • Main handler function that executes the create_change_request tool: validates params using Pydantic model, prepares data, makes POST request to ServiceNow /api/now/table/change_request, returns success with change_request details or error.
    def create_change_request( auth_manager: AuthManager, server_config: ServerConfig, params: Dict[str, Any], ) -> Dict[str, Any]: """ Create a new change request in ServiceNow. Args: auth_manager: The authentication manager. server_config: The server configuration. params: The parameters for creating the change request. Returns: The created change request. """ # Unwrap and validate parameters result = _unwrap_and_validate_params( params, CreateChangeRequestParams, required_fields=["short_description", "type"] ) if not result["success"]: return result validated_params = result["params"] # Prepare the request data data = { "short_description": validated_params.short_description, "type": validated_params.type, } # Add optional fields if provided if validated_params.description: data["description"] = validated_params.description if validated_params.risk: data["risk"] = validated_params.risk if validated_params.impact: data["impact"] = validated_params.impact if validated_params.category: data["category"] = validated_params.category if validated_params.requested_by: data["requested_by"] = validated_params.requested_by if validated_params.assignment_group: data["assignment_group"] = validated_params.assignment_group if validated_params.start_date: data["start_date"] = validated_params.start_date if validated_params.end_date: data["end_date"] = validated_params.end_date # Get the instance URL instance_url = _get_instance_url(auth_manager, server_config) if not instance_url: return { "success": False, "message": "Cannot find instance_url in either server_config or auth_manager", } # Get the headers headers = _get_headers(auth_manager, server_config) if not headers: return { "success": False, "message": "Cannot find get_headers method in either auth_manager or server_config", } # Add Content-Type header headers["Content-Type"] = "application/json" # Make the API request url = f"{instance_url}/api/now/table/change_request" try: response = requests.post(url, json=data, headers=headers) response.raise_for_status() result = response.json() return { "success": True, "message": "Change request created successfully", "change_request": result["result"], } except requests.exceptions.RequestException as e: logger.error(f"Error creating change request: {e}") return { "success": False, "message": f"Error creating change request: {str(e)}", }
  • Pydantic BaseModel defining input schema/parameters for the create_change_request tool.
    class CreateChangeRequestParams(BaseModel): """Parameters for creating a change request.""" short_description: str = Field(..., description="Short description of the change request") description: Optional[str] = Field(None, description="Detailed description of the change request") type: str = Field(..., description="Type of change (normal, standard, emergency)") risk: Optional[str] = Field(None, description="Risk level of the change") impact: Optional[str] = Field(None, description="Impact of the change") category: Optional[str] = Field(None, description="Category of the change") requested_by: Optional[str] = Field(None, description="User who requested the change") assignment_group: Optional[str] = Field(None, description="Group assigned to the change") start_date: Optional[str] = Field(None, description="Planned start date (YYYY-MM-DD HH:MM:SS)") end_date: Optional[str] = Field(None, description="Planned end date (YYYY-MM-DD HH:MM:SS)")
  • Tool registration in get_tool_definitions() dictionary: maps 'create_change_request' to its handler (aliased import), schema, return type hint, description, and serialization method.
    "create_change_request": ( create_change_request_tool, CreateChangeRequestParams, str, "Create a new change request in ServiceNow", "str", ),
  • Helper function used by the handler to unwrap, validate required fields, and parse input params against the Pydantic schema.
    def _unwrap_and_validate_params(params: Any, model_class: Type[T], required_fields: List[str] = None) -> Dict[str, Any]: """ Helper function to unwrap and validate parameters. Args: params: The parameters to unwrap and validate. model_class: The Pydantic model class to validate against. required_fields: List of required field names. Returns: A tuple of (success, result) where result is either the validated parameters or an error message. """ # Handle case where params might be wrapped in another dictionary if isinstance(params, dict) and len(params) == 1 and "params" in params and isinstance(params["params"], dict): logger.warning("Detected params wrapped in a 'params' key. Unwrapping...") params = params["params"] # Handle case where params might be a Pydantic model object if not isinstance(params, dict): try: # Try to convert to dict if it's a Pydantic model logger.warning("Params is not a dictionary. Attempting to convert...") params = params.dict() if hasattr(params, "dict") else dict(params) except Exception as e: logger.error(f"Failed to convert params to dictionary: {e}") return { "success": False, "message": f"Invalid parameters format. Expected a dictionary, got {type(params).__name__}", } # Validate required parameters are present if required_fields: for field in required_fields: if field not in params: return { "success": False, "message": f"Missing required parameter '{field}'", } try: # Validate parameters against the model validated_params = model_class(**params) return { "success": True, "params": validated_params, } except Exception as e: logger.error(f"Error validating parameters: {e}") return { "success": False, "message": f"Error validating parameters: {str(e)}", }
  • Import alias for the handler function used in registration.
    from servicenow_mcp.tools.catalog_tools import ( get_catalog_item as get_catalog_item_tool, ) from servicenow_mcp.tools.catalog_tools import ( list_catalog_categories as list_catalog_categories_tool, ) from servicenow_mcp.tools.catalog_tools import ( list_catalog_items as list_catalog_items_tool, ) from servicenow_mcp.tools.catalog_tools import ( move_catalog_items as move_catalog_items_tool, ) from servicenow_mcp.tools.catalog_tools import ( update_catalog_category as update_catalog_category_tool, ) from servicenow_mcp.tools.catalog_variables import ( CreateCatalogItemVariableParams, ListCatalogItemVariablesParams, UpdateCatalogItemVariableParams, ) from servicenow_mcp.tools.catalog_variables import ( create_catalog_item_variable as create_catalog_item_variable_tool, ) from servicenow_mcp.tools.catalog_variables import ( list_catalog_item_variables as list_catalog_item_variables_tool, ) from servicenow_mcp.tools.catalog_variables import ( update_catalog_item_variable as update_catalog_item_variable_tool, ) from servicenow_mcp.tools.change_tools import ( AddChangeTaskParams, ApproveChangeParams, CreateChangeRequestParams, GetChangeRequestDetailsParams, ListChangeRequestsParams, RejectChangeParams, SubmitChangeForApprovalParams, UpdateChangeRequestParams, ) from servicenow_mcp.tools.change_tools import ( add_change_task as add_change_task_tool, ) from servicenow_mcp.tools.change_tools import ( approve_change as approve_change_tool, ) from servicenow_mcp.tools.change_tools import ( create_change_request as create_change_request_tool,

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/vparlapalli490/MCP'

If you have feedback or need assistance with the MCP directory API, please join our Discord server