@iriseller/mcp-server/dist/types/index.js

Model Context Protocol (MCP) server providing access to IRISeller's AI sales intelligence platform with 7 AI agents, multi-CRM integration, advanced sales workflows, email automation, Rosa demo functionality with action scoring, DNC compliance checking, G

import { z } from 'zod';
// Base types for IRISeller data structures
export const LeadSchema = z.object({
    id: z.string(),
    name: z.string(),
    email: z.string().optional(),
    company: z.string(),
    title: z.string().optional(),
    phone: z.string().optional(),
    status: z.string().optional(),
    industry: z.string().optional(),
    source: z.string().optional(),
    score: z.number().optional(),
});
export const OpportunitySchema = z.object({
    id: z.string(),
    name: z.string(),
    amount: z.number().optional(),
    stage: z.string(),
    probability: z.number().optional(),
    closeDate: z.string().optional(),
    accountId: z.string().optional(),
    ownerId: z.string().optional(),
});
export const ContactSchema = z.object({
    id: z.string(),
    name: z.string(),
    email: z.string().optional(),
    phone: z.string().optional(),
    title: z.string().optional(),
    accountId: z.string().optional(),
    department: z.string().optional(),
});
export const CompanySchema = z.object({
    name: z.string(),
    industry: z.string().optional(),
    size: z.string().optional(),
    website: z.string().optional(),
    location: z.string().optional(),
    revenue: z.string().optional(),
});
// Agent execution types
export const AgentExecutionRequestSchema = z.object({
    agent_name: z.enum([
        'rosa_sdr',
        'prospecting',
        'personalization',
        'sequence',
        'social_selling',
        'nurturing',
        'objection_handling'
    ]),
    input_data: z.record(z.any()),
    options: z.object({
        timeout: z.number().optional(),
        priority: z.enum(['low', 'medium', 'high']).optional(),
        include_research: z.boolean().optional(),
    }).optional(),
});
export const WorkflowExecutionRequestSchema = z.object({
    workflow_type: z.enum([
        'full_sdr_workflow',
        'account_based_prospecting',
        'lead_qualification_enhancement',
        'outreach_sequence_creation',
        'social_selling_campaign',
        'lead_nurturing_setup'
    ]),
    input_data: z.record(z.any()),
    agents_to_include: z.array(z.string()).optional(),
    options: z.object({
        timeout: z.number().optional(),
        priority: z.enum(['low', 'medium', 'high']).optional(),
    }).optional(),
});
// CRM query types
export const CRMQuerySchema = z.object({
    entity_type: z.enum(['leads', 'opportunities', 'contacts', 'accounts']),
    filters: z.union([
        z.record(z.any()), // Object format: {quarter: "Q4"}
        z.array(z.object({ field: z.string(), value: z.any() })) // Array format: [{field: "quarter", value: "Q4"}]
    ]).optional().transform((filters) => {
        // Convert array format to object format if needed
        if (Array.isArray(filters)) {
            const obj = {};
            filters.forEach(filter => {
                obj[filter.field] = filter.value;
            });
            return obj;
        }
        return filters;
    }),
    limit: z.number().min(1).max(100).default(10),
    offset: z.number().min(0).default(0),
    sort_by: z.string().optional(),
    sort_order: z.enum(['asc', 'desc']).default('desc'),
});
// Research types
export const CompanyResearchRequestSchema = z.object({
    company_name: z.string(),
    industry: z.string().optional(),
    research_depth: z.enum(['basic', 'comprehensive', 'competitive']).default('basic'),
    include_competitors: z.boolean().default(false),
    include_news: z.boolean().default(true),
    include_financials: z.boolean().default(false),
});
// Personalization types
export const PersonalizationRequestSchema = z.object({
    prospect_data: z.object({
        name: z.string(),
        company: z.string(),
        title: z.string().optional(),
        industry: z.string().optional(),
        email: z.string().optional(),
        linkedin_url: z.string().optional(),
    }),
    message_type: z.enum(['email', 'linkedin', 'phone_script', 'sequence']),
    tone: z.enum(['professional', 'casual', 'consultative', 'friendly']).default('professional'),
    objectives: z.array(z.string()).optional(),
    context: z.string().optional(),
});