ServiceNow MCP Server

Instructions

Implementation Reference

• src/servicenow_mcp/tools/workflow_tools.py:300-357 (handler)

  The core handler function for the 'list_workflow_versions' tool. It validates parameters using ListWorkflowVersionsParams, constructs a ServiceNow API query for the wf_workflow_version table filtered by workflow_id, fetches the data via REST GET, and returns versions list with metadata.
  def list_workflow_versions( auth_manager: AuthManager, server_config: ServerConfig, params: Dict[str, Any], ) -> Dict[str, Any]: """ List versions of a specific workflow. Args: auth_manager: Authentication manager server_config: Server configuration params: Parameters for listing workflow versions Returns: Dict[str, Any]: List of workflow versions """ # Unwrap parameters if needed params = _unwrap_params(params, ListWorkflowVersionsParams) # 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"} # Convert parameters to ServiceNow query format query_params = { "sysparm_query": f"workflow={workflow_id}", "sysparm_limit": params.get("limit", 10), "sysparm_offset": params.get("offset", 0), } # Make the API request try: headers = auth_manager.get_headers() url = f"{server_config.instance_url}/api/now/table/wf_workflow_version" response = requests.get(url, headers=headers, params=query_params) response.raise_for_status() result = response.json() return { "versions": result.get("result", []), "count": len(result.get("result", [])), "total": int(response.headers.get("X-Total-Count", 0)), "workflow_id": workflow_id, } except requests.RequestException as e: logger.error(f"Error listing workflow versions: {e}") return {"error": str(e)} except Exception as e: logger.error(f"Unexpected error listing workflow versions: {e}") return {"error": str(e)}
• src/servicenow_mcp/tools/workflow_tools.py:40-46 (schema)

  Pydantic BaseModel defining the input schema for the tool: requires workflow_id, optional limit and offset.
  class ListWorkflowVersionsParams(BaseModel): """Parameters for listing workflow versions.""" workflow_id: str = Field(..., description="Workflow ID or sys_id") limit: Optional[int] = Field(10, description="Maximum number of records to return") offset: Optional[int] = Field(0, description="Offset to start from")
• src/servicenow_mcp/utils/tool_utils.py:550-556 (registration)

  Registers the tool in the central get_tool_definitions() dictionary used by the MCP server, mapping name to (handler, param_model, return_type, description, serialization).
  "list_workflow_versions": ( list_workflow_versions_tool, ListWorkflowVersionsParams, str, # Expects JSON string "List workflow versions from ServiceNow", "json", # Tool returns list/dict ),
• src/servicenow_mcp/tools/__init__.py:78-91 (registration)

  Imports the list_workflow_versions function into the tools package namespace for exposure.
  from servicenow_mcp.tools.workflow_tools import ( activate_workflow, add_workflow_activity, create_workflow, deactivate_workflow, delete_workflow_activity, get_workflow_activities, get_workflow_details, list_workflow_versions, list_workflows, reorder_workflow_activities, update_workflow, update_workflow_activity, )
• src/servicenow_mcp/tools/workflow_tools.py:126-136 (helper)

  Helper function used by the handler to unwrap and validate parameters using the schema model.
  def _unwrap_params(params: Any, param_class: Type[T]) -> Dict[str, Any]: """ Unwrap parameters if they're wrapped in a Pydantic model. This helps handle cases where the parameters are passed as a model instead of a dict. """ if isinstance(params, dict): return params if isinstance(params, param_class): return params.dict(exclude_none=True) return params