ServiceNow MCP Server

Instructions

Implementation Reference

• src/servicenow_mcp/tools/changeset_tools.py:286-366 (handler)

  The handler function implementing the get_changeset_details tool. It validates parameters, fetches changeset details and associated changes from ServiceNow APIs, and returns structured results.
  def get_changeset_details( auth_manager: AuthManager, server_config: ServerConfig, params: Union[Dict[str, Any], GetChangesetDetailsParams], ) -> Dict[str, Any]: """ Get detailed information about a specific changeset. Args: auth_manager: The authentication manager. server_config: The server configuration. params: The parameters for getting changeset details. Can be a dictionary or a GetChangesetDetailsParams object. Returns: Detailed information about the changeset. """ # Unwrap and validate parameters result = _unwrap_and_validate_params( params, GetChangesetDetailsParams, required_fields=["changeset_id"] ) 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", } # Make the API request url = f"{instance_url}/api/now/table/sys_update_set/{validated_params.changeset_id}" try: response = requests.get(url, headers=headers) response.raise_for_status() result = response.json() # Get the changeset details changeset = result.get("result", {}) # Get the changes in this changeset changes_url = f"{instance_url}/api/now/table/sys_update_xml" changes_params = { "sysparm_query": f"update_set={validated_params.changeset_id}", } changes_response = requests.get(changes_url, params=changes_params, headers=headers) changes_response.raise_for_status() changes_result = changes_response.json() changes = changes_result.get("result", []) return { "success": True, "changeset": changeset, "changes": changes, "change_count": len(changes), } except requests.exceptions.RequestException as e: logger.error(f"Error getting changeset details: {e}") return { "success": False, "message": f"Error getting changeset details: {str(e)}", }
• src/servicenow_mcp/tools/changeset_tools.py:34-38 (schema)

  Pydantic BaseModel defining the input schema for the get_changeset_details tool, requiring a changeset_id.
  class GetChangesetDetailsParams(BaseModel): """Parameters for getting changeset details.""" changeset_id: str = Field(..., description="Changeset ID or sys_id")
• src/servicenow_mcp/utils/tool_utils.py:628-634 (registration)

  Tool registration in the central get_tool_definitions() function, linking the aliased handler, input schema, description, and serialization details for MCP server.
  "get_changeset_details": ( get_changeset_details_tool, GetChangesetDetailsParams, str, # Expects JSON string "Get detailed information about a specific changeset", "json", # Tool returns list/dict ),
• src/servicenow_mcp/tools/__init__.py:33-41 (registration)

  Import and export of the get_changeset_details handler in the tools package __init__.py, making it available for use.
  from servicenow_mcp.tools.changeset_tools import ( add_file_to_changeset, commit_changeset, create_changeset, get_changeset_details, list_changesets, publish_changeset, update_changeset, )
• src/servicenow_mcp/tools/changeset_tools.py:81-133 (helper)

  Helper function to unwrap and validate input parameters using Pydantic models, used by the handler.
  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)}", }