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π“‚€π“’π“‹Ήπ”Έβ„•π•Œπ”Ήπ•€π•Šπ“‹Ήπ“’π“‚€ - Intelligent Guidance for

by Hive-Academy
init-rules-mcp.service.tsβ€’2.23 kB
import { Injectable } from '@nestjs/common'; import { Tool } from '@rekog/mcp-nest'; import { ZodSchema, z } from 'zod'; import { InitRulesService } from '../init-rules.service'; // Schema definitions for MCP operations const InitRulesInputSchema = z.object({ agentName: z .enum(['cursor', 'copilot', 'roocode', 'kilocode']) .describe('AI agent to deploy rules for (cursor or copilot)'), projectRoot: z .string() .optional() .describe( 'Root directory of the target project. Defaults to current working directory.', ), }); type InitRulesInput = z.infer<typeof InitRulesInputSchema>; @Injectable() export class InitRulesMcpService { constructor(private readonly initRulesService: InitRulesService) {} /** * MCP tool to deploy Anubis workflow rules to specified AI agent */ @Tool({ name: 'init_rules', description: 'Initialize Anubis workflow rules to specified AI agent (cursor or copilot)', parameters: InitRulesInputSchema as ZodSchema<InitRulesInput>, }) async InitRules(input: InitRulesInput) { try { const projectRoot = input.projectRoot || process.cwd(); const result = await this.initRulesService.InitRules( input.agentName, projectRoot, ); return { content: [ { type: 'text' as const, text: JSON.stringify( { success: result.success, message: 'message' in result ? result.message : 'No message available', data: { targetFile: result.targetFile }, timestamp: new Date().toISOString(), }, null, 2, ), }, ], }; } catch (error) { return { content: [ { type: 'text' as const, text: JSON.stringify( { success: false, error: { message: error.message, code: 'DEPLOY_RULES_ERROR', }, timestamp: new Date().toISOString(), }, null, 2, ), }, ], }; } } }

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