Skip to main content
Glama
echelon-ai-labs

ServiceNow MCP Server

deactivate_workflow

Disable a specific workflow in ServiceNow by providing its ID, ensuring it no longer executes automated processes within the platform.

Instructions

Deactivate a workflow in ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsYes

Implementation Reference

  • The core handler function that performs the deactivation by sending a PATCH request to the ServiceNow wf_workflow table API endpoint to set active=false.
    def deactivate_workflow(
        auth_manager: AuthManager,
        server_config: ServerConfig,
        params: Dict[str, Any],
    ) -> Dict[str, Any]:
        """
        Deactivate a workflow in ServiceNow.
        
        Args:
            auth_manager: Authentication manager
            server_config: Server configuration
            params: Parameters for deactivating a workflow
            
        Returns:
            Dict[str, Any]: Deactivated workflow details
        """
        # Unwrap parameters if needed
        params = _unwrap_params(params, DeactivateWorkflowParams)
        
        # Get the correct auth_manager and server_config
        try:
            auth_manager, server_config = _get_auth_and_config(auth_manager, server_config)
        except ValueError as e:
            logger.error(f"Error getting auth and config: {e}")
            return {"error": str(e)}
        
        workflow_id = params.get("workflow_id")
        if not workflow_id:
            return {"error": "Workflow ID is required"}
        
        # Prepare data for the API request
        data = {
            "active": "false",
        }
        
        # Make the API request
        try:
            headers = auth_manager.get_headers()
            url = f"{server_config.instance_url}/api/now/table/wf_workflow/{workflow_id}"
            
            response = requests.patch(url, headers=headers, json=data)
            response.raise_for_status()
            
            result = response.json()
            return {
                "workflow": result.get("result", {}),
                "message": "Workflow deactivated successfully",
            }
        except requests.RequestException as e:
            logger.error(f"Error deactivating workflow: {e}")
            return {"error": str(e)}
        except Exception as e:
            logger.error(f"Unexpected error deactivating workflow: {e}")
            return {"error": str(e)}
  • Pydantic BaseModel defining the input schema for the tool, requiring a workflow_id.
    class DeactivateWorkflowParams(BaseModel):
        """Parameters for deactivating a workflow."""
        
        workflow_id: str = Field(..., description="Workflow ID or sys_id")
  • Registration of the tool in the central get_tool_definitions() dictionary, associating the name with the imported handler function, schema, return type, description, and serialization method.
    "deactivate_workflow": (
        deactivate_workflow_tool,
        DeactivateWorkflowParams,
        str,
        "Deactivate a workflow in ServiceNow",
        "str",  # Tool returns simple message
    ),
  • Import of the deactivate_workflow handler into the tools package namespace for exposure.
    deactivate_workflow,
  • Helper function used by the handler to normalize auth_manager and server_config arguments, handling potential order swaps.
    def _get_auth_and_config(
        auth_manager_or_config: Union[AuthManager, ServerConfig],
        server_config_or_auth: Union[ServerConfig, AuthManager],
    ) -> tuple[AuthManager, ServerConfig]:
        """
        Get the correct auth_manager and server_config objects.
        
        This function handles the case where the parameters might be swapped.
        
        Args:
            auth_manager_or_config: Either an AuthManager or a ServerConfig.
            server_config_or_auth: Either a ServerConfig or an AuthManager.
            
        Returns:
            tuple[AuthManager, ServerConfig]: The correct auth_manager and server_config.
            
        Raises:
            ValueError: If the parameters are not of the expected types.
        """
        # Check if the parameters are in the correct order
        if isinstance(auth_manager_or_config, AuthManager) and isinstance(server_config_or_auth, ServerConfig):
            return auth_manager_or_config, server_config_or_auth
        
        # Check if the parameters are swapped
        if isinstance(auth_manager_or_config, ServerConfig) and isinstance(server_config_or_auth, AuthManager):
            return server_config_or_auth, auth_manager_or_config
        
        # If we get here, at least one of the parameters is not of the expected type
        if hasattr(auth_manager_or_config, "get_headers"):
            auth_manager = auth_manager_or_config
        elif hasattr(server_config_or_auth, "get_headers"):
            auth_manager = server_config_or_auth
        else:
            raise ValueError("Cannot find get_headers method in either auth_manager or server_config")
        
        if hasattr(auth_manager_or_config, "instance_url"):
            server_config = auth_manager_or_config
        elif hasattr(server_config_or_auth, "instance_url"):
            server_config = server_config_or_auth
        else:
            raise ValueError("Cannot find instance_url attribute in either auth_manager or server_config")
        
        return auth_manager, server_config

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/echelon-ai-labs/servicenow-mcp'

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