@dollhousemcp/mcp-server
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DollhouseMCP - A Model Context Protocol (MCP) server that enables dynamic AI persona management from markdown files, allowing Claude and other compatible AI assistants to activate and switch between different behavioral personas.
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TypeScript
/**
* GenericElementValidator - Default validator implementation for most element types
*
* Provides standard validation logic that works for any element type.
* Uses the existing ValidationService and TriggerValidationService for
* consistent security-first validation patterns.
*
* Element types that need specialized validation (like personas) can
* extend this class or implement ElementValidator directly.
*/
import { ElementType } from '../../portfolio/types.js';
import { ValidationService } from './ValidationService.js';
import { TriggerValidationService } from './TriggerValidationService.js';
import { MetadataService } from '../MetadataService.js';
import { ElementValidator, ValidationResult, ValidationReport, ElementValidationOptions, MetadataValidationOptions } from './ElementValidator.js';
/**
* Default validator implementation for most element types
*/
export declare class GenericElementValidator implements ElementValidator {
protected validationService: ValidationService;
protected triggerValidationService: TriggerValidationService;
protected metadataService: MetadataService;
readonly elementType: ElementType;
constructor(elementType: ElementType, validationService: ValidationService, triggerValidationService: TriggerValidationService, metadataService: MetadataService);
/**
* Validate data for element creation
*
* ARCHITECTURE: Input Normalization at Boundary
* Step 1: Normalize ALL string fields (Unicode, confusables, direction overrides)
* Step 2: Validate the normalized data (field rules, lengths, patterns)
*
* This ensures we can't forget to normalize a field - it happens once at entry.
*/
validateCreate(data: unknown, options?: ElementValidationOptions): Promise<ValidationResult>;
/**
* Validate changes to an existing element
*
* ARCHITECTURE: Input Normalization at Boundary
* Step 1: Normalize ALL string fields in changes object
* Step 2: Validate the normalized changes
*/
validateEdit(element: unknown, changes: unknown, options?: ElementValidationOptions): Promise<ValidationResult>;
/**
* Validate element metadata
*/
validateMetadata(metadata: unknown, options?: MetadataValidationOptions): Promise<ValidationResult>;
/**
* Generate a comprehensive validation report
*/
generateReport(element: unknown): Promise<ValidationReport>;
/**
* Validate element name
*/
protected validateName(name: unknown): ValidationResult;
/**
* Validate element description
*/
protected validateDescription(description: unknown): ValidationResult;
private sanitizeDescriptionInput;
/**
* Validate element content
*/
protected validateContent(content: unknown, maxLength?: number): Promise<ValidationResult>;
/**
* Validate triggers array
*/
protected validateTriggers(triggers: unknown, elementName: string): ValidationResult;
/**
* Calculate a quality score for the element (0-100)
*/
protected calculateQualityScore(metadata: Record<string, unknown>, content: string): number;
/**
* Get human-readable label for this element type
*/
protected getElementLabel(): string;
}
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