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javerthl

ServiceNow MCP Server

by javerthl

list_epics

Retrieve and filter epics from ServiceNow with options for priority, assignment group, timeframe, and custom queries to manage project initiatives.

Instructions

List epics from ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assignment_groupNoFilter by assignment group
limitNoMaximum number of records to return
offsetNoOffset to start from
priorityNoFilter by priority
queryNoAdditional query string
timeframeNoFilter by timeframe (upcoming, in-progress, completed)

Implementation Reference

  • The handler function that implements the logic for listing epics from ServiceNow. It validates parameters, builds a query based on filters, makes a GET request to the rm_epic table API, and returns the list of epics.
    def list_epics( auth_manager: AuthManager, server_config: ServerConfig, params: Dict[str, Any], ) -> Dict[str, Any]: """ List epics from ServiceNow. Args: auth_manager: The authentication manager. server_config: The server configuration. params: The parameters for listing epics. Returns: A list of epics. """ # Unwrap and validate parameters result = _unwrap_and_validate_params( params, ListEpicsParams ) if not result["success"]: return result validated_params = result["params"] # Build the query query_parts = [] if validated_params.priority: query_parts.append(f"priority={validated_params.priority}") if validated_params.assignment_group: query_parts.append(f"assignment_group={validated_params.assignment_group}") # Handle timeframe filtering if validated_params.timeframe: now = datetime.now().strftime("%Y-%m-%d %H:%M:%S") if validated_params.timeframe == "upcoming": query_parts.append(f"start_date>{now}") elif validated_params.timeframe == "in-progress": query_parts.append(f"start_date<{now}^end_date>{now}") elif validated_params.timeframe == "completed": query_parts.append(f"end_date<{now}") # 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/rm_epic" 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 epics = result.get("result", []) count = len(epics) return { "success": True, "epics": epics, "count": count, "total": count, # Use count as total if total is not provided } except requests.exceptions.RequestException as e: logger.error(f"Error listing epics: {e}") return { "success": False, "message": f"Error listing epics: {str(e)}", }
  • Pydantic model defining the input parameters for the list_epics tool, including pagination, filters, and custom query.
    class ListEpicsParams(BaseModel): """Parameters for listing epics.""" limit: Optional[int] = Field(10, description="Maximum number of records to return") offset: Optional[int] = Field(0, description="Offset to start from") priority: Optional[str] = Field(None, description="Filter by priority") assignment_group: Optional[str] = Field(None, description="Filter by assignment group") timeframe: Optional[str] = Field(None, description="Filter by timeframe (upcoming, in-progress, completed)") query: Optional[str] = Field(None, description="Additional query string")
  • Registration of the list_epics tool in the central tool definitions dictionary, mapping name to implementation, schema, description, and serialization details.
    "list_epics": ( list_epics_tool, ListEpicsParams, str, # Expects JSON string "List epics from ServiceNow", "json", # Tool returns list/dict ),
  • Import of the list_epics function in the tools package __init__.py for re-exporting.
    from servicenow_mcp.tools.epic_tools import ( create_epic, update_epic, list_epics, )
  • Inclusion of list_epics in the __all__ list for public API exposure.
    "list_epics",

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