Google Business Profile Review MCP Server

/** * Genexport interface GenerateReplyTool { schema: { title: string; description: string; inputSchema: { reviewText: any; starRating: any; businessName: any; replyTone: any; includePersonalization: any; }; outputSchema: any; }; handler: (args: any) => Promise<CallToolResult>; }l * Uses LLM to generate appropriate responses to reviews */ import { z } from 'zod'; import { logger } from '../../utils/logger.js'; import type { LLMService } from '../../services/llmService.js'; import type { GenerateReplyParams } from '../../types/index.js'; import { CallToolResult, ServerNotification, ServerRequest } from '@modelcontextprotocol/sdk/types.js'; import { RequestHandlerExtra } from '@modelcontextprotocol/sdk/shared/protocol.js'; export interface GenerateReplyTool { schema: { title: string; description: string; inputSchema: { reviewText: any; starRating: any; businessName: any; replyTone?: any; includePersonalization?: any; }; outputSchema: any; }; handler: (params: GenerateReplyParams, extra: RequestHandlerExtra<ServerRequest, ServerNotification>) => Promise<CallToolResult>; } export function createGenerateReplyTool(llmService: LLMService): GenerateReplyTool { return { schema: { title: 'Generate Review Reply', description: 'Generate an AI-powered response to a customer review using appropriate tone and personalization', inputSchema: { reviewText: z.string().describe('The text content of the customer review'), starRating: z.number().min(1).max(5).describe('The star rating given by the reviewer (1-5)'), businessName: z.string().describe('The name of the business'), replyTone: z.enum(['professional', 'friendly', 'apologetic', 'grateful']).optional() .describe('The desired tone for the reply (auto-determined based on rating if not specified)'), includePersonalization: z.boolean().optional().default(true) .describe('Whether to include personalized references to the review content') }, outputSchema: z.object({ content: z.array(z.object({ type: z.string(), text: z.string() })) }) }, handler: async (args: any, extra: RequestHandlerExtra<ServerRequest, ServerNotification>): Promise<any> => { try { const params: GenerateReplyParams = { reviewText: args.reviewText, starRating: args.starRating, businessName: args.businessName, replyTone: args.replyTone, includePersonalization: args.includePersonalization }; logger.info('Executing generate_reply tool', { starRating: params.starRating, businessName: params.businessName, replyTone: params.replyTone }); const { reviewText, starRating, businessName, replyTone, includePersonalization = true } = params; // Validate inputs // if (!reviewText?.trim()) { // throw new Error('reviewText is required and cannot be empty'); // } if (!businessName?.trim()) { throw new Error('businessName is required and cannot be empty'); } if (starRating < 1 || starRating > 5) { throw new Error('starRating must be between 1 and 5'); } const result = await llmService.generateReply( reviewText, starRating, businessName, { replyTone, includePersonalization }, extra ); if (!result.success) { throw new Error(result.error || 'Failed to generate reply'); } const replyData = result.data!; logger.info(`Successfully generated reply with ${replyData.tone} tone and ${replyData.confidence} confidence`); const response = { content: [ { type: 'text', text: `Generated reply for "${businessName}":\n\n` + `${replyData.replyText}\n\n` + `Tone: ${replyData.tone}\n` + `Sentiment: ${replyData.sentiment}\n` + `Confidence: ${Math.round(replyData.confidence * 100)}%` } ] }; return response; } catch (error) { logger.error('Error in generate_reply tool:', error); return { content: [ { type: 'text', text: `Failed to generate reply: ${error instanceof Error ? error.message : 'Unknown error'}` } ], isError: true }; } } }; }