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JLKmach

ServiceNow MCP Server

by JLKmach

list_story_dependencies

Retrieve story dependencies in ServiceNow to identify relationships between agile stories and manage project workflows effectively.

Instructions

List story dependencies from ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of records to return
offsetNoOffset to start from
queryNoAdditional query string
dependent_storyNoSys_id of the dependent story is required
prerequisite_storyNoSys_id that this story depends on is required

Implementation Reference

  • The handler function that executes the tool: validates parameters, builds ServiceNow query for story dependencies table, makes GET request to /api/now/table/m2m_story_dependencies, and returns the list of dependencies.
    def list_story_dependencies( auth_manager: AuthManager, server_config: ServerConfig, params: Dict[str, Any], ) -> Dict[str, Any]: """ List story dependencies from ServiceNow. Args: auth_manager: The authentication manager. server_config: The server configuration. params: The parameters for listing story dependencies. Returns: A list of story dependencies. """ # Unwrap and validate parameters result = _unwrap_and_validate_params( params, ListStoryDependenciesParams ) if not result["success"]: return result validated_params = result["params"] # Build the query query_parts = [] if validated_params.dependent_story: query_parts.append(f"dependent_story={validated_params.dependent_story}") if validated_params.prerequisite_story: query_parts.append(f"prerequisite_story={validated_params.prerequisite_story}") # Add any additional query string if validated_params.query: query_parts.append(validated_params.query) # Combine query parts query = "^".join(query_parts) if query_parts else "" # 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", } # Make the API request url = f"{instance_url}/api/now/table/m2m_story_dependencies" params = { "sysparm_limit": validated_params.limit, "sysparm_offset": validated_params.offset, "sysparm_query": query, "sysparm_display_value": "true", } try: response = requests.get(url, headers=headers, params=params) response.raise_for_status() result = response.json() # Handle the case where result["result"] is a list story_dependencies = result.get("result", []) count = len(story_dependencies) return { "success": True, "story_dependencies": story_dependencies, "count": count, "total": count, # Use count as total if total is not provided } except requests.exceptions.RequestException as e: logger.error(f"Error listing story dependencies: {e}") return { "success": False, "message": f"Error listing story dependencies: {str(e)}", }
  • Pydantic model defining the input parameters for the list_story_dependencies tool.
    class ListStoryDependenciesParams(BaseModel): """Parameters for listing story dependencies.""" limit: Optional[int] = Field(10, description="Maximum number of records to return") offset: Optional[int] = Field(0, description="Offset to start from") query: Optional[str] = Field(None, description="Additional query string") dependent_story: Optional[str] = Field(None, description="Sys_id of the dependent story is required") prerequisite_story: Optional[str] = Field(None, description="Sys_id that this story depends on is required")
  • Registers the tool in the central tool_definitions dictionary used by the MCP server, mapping name to (handler, schema, return_type, description, serialization). Note: list_story_dependencies_tool is alias imported from story_tools.py
    "list_story_dependencies": ( list_story_dependencies_tool, ListStoryDependenciesParams, str, # Expects JSON string "List story dependencies from ServiceNow", "json", # Tool returns list/dict ),
  • Imports and exposes the list_story_dependencies function in the tools package __init__ for easy access.
    list_story_dependencies, create_story_dependency, delete_story_dependency, ) from servicenow_mcp.tools.epic_tools import ( create_epic, update_epic, list_epics, ) from servicenow_mcp.tools.scrum_task_tools import ( create_scrum_task, update_scrum_task, list_scrum_tasks, ) from servicenow_mcp.tools.project_tools import ( create_project, update_project, list_projects, ) # from servicenow_mcp.tools.problem_tools import create_problem, update_problem # from servicenow_mcp.tools.request_tools import create_request, update_request __all__ = [ # Incident tools "create_incident", "update_incident", "add_comment", "resolve_incident", "list_incidents", # Catalog tools "list_catalog_items", "get_catalog_item", "list_catalog_categories", "create_catalog_category", "update_catalog_category", "move_catalog_items", "get_optimization_recommendations", "update_catalog_item", "create_catalog_item_variable", "list_catalog_item_variables", "update_catalog_item_variable", # Change management tools "create_change_request", "update_change_request", "list_change_requests", "get_change_request_details", "add_change_task", "submit_change_for_approval", "approve_change", "reject_change", # Workflow management tools "list_workflows", "get_workflow_details", "list_workflow_versions", "get_workflow_activities", "create_workflow", "update_workflow", "activate_workflow", "deactivate_workflow", "add_workflow_activity", "update_workflow_activity", "delete_workflow_activity", "reorder_workflow_activities", # Changeset tools "list_changesets", "get_changeset_details", "create_changeset", "update_changeset", "commit_changeset", "publish_changeset", "add_file_to_changeset", # Script Include tools "list_script_includes", "get_script_include", "create_script_include", "update_script_include", "delete_script_include", # Knowledge Base tools "create_knowledge_base", "list_knowledge_bases", "create_category", "list_categories", "create_article", "update_article", "publish_article", "list_articles", "get_article", # User management tools "create_user", "update_user", "get_user", "list_users", "create_group", "update_group", "add_group_members", "remove_group_members", "list_groups", # Story tools "create_story", "update_story", "list_stories", "list_story_dependencies",
  • Helper function used by the handler (and other tools) to unwrap, validate parameters against Pydantic schema, and handle common input formats.
    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)}", }

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