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vparlapalli490

ServiceNow MCP Server

list_changesets

Retrieve and filter ServiceNow changesets to track application updates, developer contributions, and deployment states for effective change management.

Instructions

List changesets from ServiceNow

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of records to return
offsetNoOffset to start from
stateNoFilter by state
applicationNoFilter by application
developerNoFilter by developer
timeframeNoFilter by timeframe (recent, last_week, last_month)
queryNoAdditional query string

Implementation Reference

  • Core handler function that lists changesets by querying the ServiceNow API endpoint /api/now/table/sys_update_set with filters and pagination.
    def list_changesets( auth_manager: AuthManager, server_config: ServerConfig, params: Union[Dict[str, Any], ListChangesetsParams], ) -> Dict[str, Any]: """ List changesets from ServiceNow. Args: auth_manager: The authentication manager. server_config: The server configuration. params: The parameters for listing changesets. Can be a dictionary or a ListChangesetsParams object. Returns: A list of changesets. """ # Unwrap and validate parameters result = _unwrap_and_validate_params(params, ListChangesetsParams) if not result["success"]: return result validated_params = result["params"] # 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", } # Build query parameters query_params = { "sysparm_limit": validated_params.limit, "sysparm_offset": validated_params.offset, } # Build sysparm_query query_parts = [] if validated_params.state: query_parts.append(f"state={validated_params.state}") if validated_params.application: query_parts.append(f"application={validated_params.application}") if validated_params.developer: query_parts.append(f"developer={validated_params.developer}") if validated_params.timeframe: if validated_params.timeframe == "recent": query_parts.append("sys_created_onONLast 7 days@javascript:gs.beginningOfLast7Days()@javascript:gs.endOfToday()") elif validated_params.timeframe == "last_week": query_parts.append("sys_created_onONLast week@javascript:gs.beginningOfLastWeek()@javascript:gs.endOfLastWeek()") elif validated_params.timeframe == "last_month": query_parts.append("sys_created_onONLast month@javascript:gs.beginningOfLastMonth()@javascript:gs.endOfLastMonth()") if validated_params.query: query_parts.append(validated_params.query) if query_parts: query_params["sysparm_query"] = "^".join(query_parts) # Make the API request url = f"{instance_url}/api/now/table/sys_update_set" try: response = requests.get(url, params=query_params, headers=headers) response.raise_for_status() result = response.json() return { "success": True, "changesets": result.get("result", []), "count": len(result.get("result", [])), } except requests.exceptions.RequestException as e: logger.error(f"Error listing changesets: {e}") return { "success": False, "message": f"Error listing changesets: {str(e)}", }
  • Pydantic model defining the input parameters for the list_changesets tool, including pagination, filters by state, application, developer, timeframe, and custom query.
    class ListChangesetsParams(BaseModel): """Parameters for listing changesets.""" limit: Optional[int] = Field(10, description="Maximum number of records to return") offset: Optional[int] = Field(0, description="Offset to start from") state: Optional[str] = Field(None, description="Filter by state") application: Optional[str] = Field(None, description="Filter by application") developer: Optional[str] = Field(None, description="Filter by developer") timeframe: Optional[str] = Field(None, description="Filter by timeframe (recent, last_week, last_month)") query: Optional[str] = Field(None, description="Additional query string")
  • Tool definition mapping for 'list_changesets' in the central tool registry, linking to wrapper handler list_changesets_tool, input schema ListChangesetsParams, description, and expected input/output formats.
    "list_changesets": ( list_changesets_tool, ListChangesetsParams, str, # Expects JSON string "List changesets from ServiceNow", "json", # Tool returns list/dict ),
  • Import statement exposing list_changesets from changeset_tools module, facilitating tool discovery and registration.
    from servicenow_mcp.tools.changeset_tools import ( add_file_to_changeset, commit_changeset, create_changeset, get_changeset_details, list_changesets, publish_changeset, update_changeset, )
  • Utility function used by list_changesets to validate and unwrap input parameters against the ListChangesetsParams schema.
    def _unwrap_and_validate_params( params: Union[Dict[str, Any], BaseModel], model_class: Type[T], required_fields: Optional[List[str]] = None ) -> Dict[str, Any]: """ Unwrap and validate parameters. Args: params: The parameters to unwrap and validate. Can be a dictionary or a Pydantic model. model_class: The Pydantic model class to validate against. required_fields: List of fields that must be present. Returns: A dictionary with success status and validated parameters or error message. """ try: # Handle case where params is already a Pydantic model if isinstance(params, BaseModel): # If it's already the correct model class, use it directly if isinstance(params, model_class): model_instance = params # Otherwise, convert to dict and create new instance else: model_instance = model_class(**params.dict()) # Handle dictionary case else: # Create model instance model_instance = model_class(**params) # Check required fields if required_fields: missing_fields = [] for field in required_fields: if getattr(model_instance, field, None) is None: missing_fields.append(field) if missing_fields: return { "success": False, "message": f"Missing required fields: {', '.join(missing_fields)}", } return { "success": True, "params": model_instance, } except Exception as e: return { "success": False, "message": f"Invalid parameters: {str(e)}", }

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