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JLKmach

ServiceNow MCP Server

by JLKmach

list_epics

Retrieve and filter ServiceNow epics by priority, assignment group, timeframe, or custom queries to manage agile project workflows.

Instructions

List epics from ServiceNow

Input Schema

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

Implementation Reference

  • The core handler function for the 'list_epics' tool. It validates input parameters using ListEpicsParams, constructs a ServiceNow query based on filters like priority, assignment_group, timeframe, and custom query, then performs a GET request to the /api/now/table/rm_epic endpoint to retrieve 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 schema for the list_epics tool parameters, including pagination (limit, offset), filters (priority, assignment_group, timeframe, 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 used by the MCP server. Maps the tool name to its handler function alias, input schema, return type hint, description, and serialization method.
    "list_epics": ( list_epics_tool, ListEpicsParams, str, # Expects JSON string "List epics from ServiceNow", "json", # Tool returns list/dict ),
  • Import and re-export of the list_epics function in the tools package __init__.py, making it available for higher-level imports.
    from servicenow_mcp.tools.epic_tools import ( create_epic, update_epic, list_epics,

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