#!/usr/bin/env node
/**
* GOD MODE INTEL MCP Server
*
* The Ultimate B2B Intelligence MCP Server for Make.com Integration
* 48+ Tools for Lead Discovery, Company Research, Competitive Intel & AI-Powered Sales
*
* Built for the Make.com MCP Community Challenge
* https://www.make.com/en/mcp-community-challenge
*
* @author LocalHowl
* @version 1.0.0
* @license MIT
*/
import { Server } from '@modelcontextprotocol/sdk/server/index.js';
import { StdioServerTransport } from '@modelcontextprotocol/sdk/server/stdio.js';
import { SSEServerTransport } from '@modelcontextprotocol/sdk/server/sse.js';
import {
CallToolRequestSchema,
ListToolsRequestSchema,
Tool,
} from '@modelcontextprotocol/sdk/types.js';
import { ApifyClient } from 'apify-client';
import express, { Request, Response } from 'express';
// ============= CONFIGURATION =============
const PORT = process.env.PORT || 3000;
const APIFY_TOKEN = process.env.APIFY_TOKEN;
const APIFY_ACTOR_ID = process.env.APIFY_ACTOR_ID || 'localhowl/god-mode-intel-mcp';
// ============= TOOL DEFINITIONS =============
// 48+ B2B Intelligence Tools organized by category
const TOOLS: Tool[] = [
// ==========================================
// DISCOVERY TOOLS (5)
// Find and discover new prospects and companies
// ==========================================
{
name: 'find_prospects',
description: 'Find prospects using Google Maps - discover local businesses by query and location. Perfect for building targeted prospect lists for outbound sales.',
inputSchema: {
type: 'object',
properties: {
query: { type: 'string', description: 'Search query (e.g., "dentists", "law firms", "marketing agencies")' },
location: { type: 'string', description: 'Location to search (e.g., "Austin, TX", "New York, NY")' },
maxResults: { type: 'number', description: 'Maximum results to return (default: 20, max: 100)' },
includeEmails: { type: 'boolean', description: 'Extract emails from websites (slower but more complete)' },
includePhones: { type: 'boolean', description: 'Include phone numbers in results' },
},
required: ['query', 'location'],
},
},
{
name: 'find_lookalikes',
description: 'Find lookalike companies similar to a target company - like Ocean.io but free. Great for expanding your TAM with similar accounts.',
inputSchema: {
type: 'object',
properties: {
companyUrl: { type: 'string', description: 'Website URL of the target company to find lookalikes for' },
industry: { type: 'string', description: 'Filter by specific industry' },
employeeRange: { type: 'string', description: 'Filter by employee count (e.g., "10-50", "50-200", "200-1000")' },
maxResults: { type: 'number', description: 'Maximum lookalikes to find (default: 20)' },
},
required: ['companyUrl'],
},
},
{
name: 'scrape_local_leads',
description: 'Bulk scrape local business leads from Google Maps with detailed info. Ideal for agencies and local service businesses.',
inputSchema: {
type: 'object',
properties: {
queries: { type: 'array', items: { type: 'string' }, description: 'Array of search queries (e.g., ["plumbers", "electricians"])' },
locations: { type: 'array', items: { type: 'string' }, description: 'Array of locations to search' },
maxResultsPerQuery: { type: 'number', description: 'Max results per query (default: 50)' },
enrichWithWebsites: { type: 'boolean', description: 'Scrape additional data from business websites' },
},
required: ['queries', 'locations'],
},
},
{
name: 'discover_companies',
description: 'Discover companies using Firecrawl-powered deep web crawling. Find hidden gems not in typical databases.',
inputSchema: {
type: 'object',
properties: {
seedUrls: { type: 'array', items: { type: 'string' }, description: 'Starting URLs to crawl for company discovery' },
industry: { type: 'string', description: 'Industry focus for filtering results' },
maxPages: { type: 'number', description: 'Maximum pages to crawl (default: 100)' },
extractContacts: { type: 'boolean', description: 'Also extract contact information found' },
},
required: ['seedUrls'],
},
},
{
name: 'enrich_from_url',
description: 'AI-powered extraction of company and contact data from any URL. Uses LLMs to intelligently parse any webpage.',
inputSchema: {
type: 'object',
properties: {
url: { type: 'string', description: 'URL to extract data from' },
extractTypes: { type: 'array', items: { type: 'string' }, description: 'What to extract: "company", "contacts", "tech_stack", "social"' },
},
required: ['url'],
},
},
// ==========================================
// LEAD ENRICHMENT (3)
// Enrich leads with additional data
// ==========================================
{
name: 'enrich_lead',
description: 'Enrich a single lead with company data, social profiles, and verified contact info. Uses Apollo, Hunter, and Clearbit APIs.',
inputSchema: {
type: 'object',
properties: {
email: { type: 'string', description: 'Email address to enrich' },
firstName: { type: 'string', description: 'First name of the lead' },
lastName: { type: 'string', description: 'Last name of the lead' },
company: { type: 'string', description: 'Company name' },
domain: { type: 'string', description: 'Company domain (e.g., "acme.com")' },
linkedinUrl: { type: 'string', description: 'LinkedIn profile URL' },
},
},
},
{
name: 'enrich_leads_batch',
description: 'Batch enrich multiple leads efficiently. Process up to 100 leads at once with parallel enrichment.',
inputSchema: {
type: 'object',
properties: {
leads: { type: 'array', items: { type: 'object' }, description: 'Array of leads with email, name, company fields' },
enrichmentLevel: { type: 'string', enum: ['basic', 'standard', 'full'], description: 'basic=email verify, standard=+company, full=+social' },
},
required: ['leads'],
},
},
{
name: 'enrich_company_contacts',
description: 'Find and enrich decision-maker contacts at a specific company. Perfect for account-based sales.',
inputSchema: {
type: 'object',
properties: {
domain: { type: 'string', description: 'Company domain (e.g., "salesforce.com")' },
companyName: { type: 'string', description: 'Company name for better matching' },
titles: { type: 'array', items: { type: 'string' }, description: 'Target job titles (e.g., ["CEO", "VP Sales", "CMO"])' },
departments: { type: 'array', items: { type: 'string' }, description: 'Target departments' },
maxContacts: { type: 'number', description: 'Maximum contacts to return (default: 10)' },
},
required: ['domain'],
},
},
// ==========================================
// LINKEDIN INTEL (3)
// LinkedIn profile and activity intelligence
// ==========================================
{
name: 'scrape_linkedin_profile',
description: 'Scrape a LinkedIn profile for detailed professional information including experience, education, and skills.',
inputSchema: {
type: 'object',
properties: {
profileUrl: { type: 'string', description: 'LinkedIn profile URL (e.g., "https://linkedin.com/in/username")' },
includeExperience: { type: 'boolean', description: 'Include detailed work experience (default: true)' },
includeEducation: { type: 'boolean', description: 'Include education history (default: true)' },
includeSkills: { type: 'boolean', description: 'Include skills list (default: true)' },
},
required: ['profileUrl'],
},
},
{
name: 'scrape_linkedin_posts',
description: 'Scrape recent posts from a LinkedIn profile with engagement metrics. Detect buying signals in their content.',
inputSchema: {
type: 'object',
properties: {
profileUrl: { type: 'string', description: 'LinkedIn profile URL' },
maxPosts: { type: 'number', description: 'Maximum posts to scrape (default: 20)' },
includeEngagement: { type: 'boolean', description: 'Include likes, comments, shares counts' },
detectBuyingSignals: { type: 'boolean', description: 'AI-detect buying signals in posts (hiring, funding, tech changes)' },
},
required: ['profileUrl'],
},
},
{
name: 'analyze_linkedin_voice',
description: 'AI-analyze a LinkedIn profiles voice, tone, and content patterns. Perfect for personalizing outreach.',
inputSchema: {
type: 'object',
properties: {
profileUrl: { type: 'string', description: 'LinkedIn profile URL to analyze' },
postsToAnalyze: { type: 'number', description: 'Number of posts to analyze (default: 20)' },
generateRecommendations: { type: 'boolean', description: 'Generate content/outreach recommendations' },
},
required: ['profileUrl'],
},
},
// ==========================================
// COMPANY RESEARCH (6)
// Deep company intelligence and research
// ==========================================
{
name: 'research_company',
description: 'Comprehensive company research including tech stack, funding, reviews, and key contacts. One-stop company intel.',
inputSchema: {
type: 'object',
properties: {
domain: { type: 'string', description: 'Company domain (e.g., "stripe.com")' },
companyName: { type: 'string', description: 'Company name' },
includeTech: { type: 'boolean', description: 'Include tech stack analysis (default: true)' },
includeFunding: { type: 'boolean', description: 'Include funding data (default: true)' },
includeReviews: { type: 'boolean', description: 'Include review aggregation (default: true)' },
includeContacts: { type: 'boolean', description: 'Include key contacts (default: true)' },
},
required: ['domain'],
},
},
{
name: 'scan_tech_stack',
description: 'Scan a website for complete technology stack detection. Identify what tools and platforms they use.',
inputSchema: {
type: 'object',
properties: {
url: { type: 'string', description: 'Website URL to scan' },
deepScan: { type: 'boolean', description: 'Deep scan multiple pages for more accuracy (slower)' },
includeTrackers: { type: 'boolean', description: 'Include tracking/analytics detection' },
includePerformance: { type: 'boolean', description: 'Include performance metrics' },
},
required: ['url'],
},
},
{
name: 'get_crunchbase_data',
description: 'Get company data from Crunchbase including funding rounds, investors, and key people.',
inputSchema: {
type: 'object',
properties: {
companyName: { type: 'string', description: 'Company name to look up' },
domain: { type: 'string', description: 'Company domain (helps with accuracy)' },
includeFunding: { type: 'boolean', description: 'Include detailed funding rounds (default: true)' },
includeInvestors: { type: 'boolean', description: 'Include investor details (default: true)' },
includeKeyPeople: { type: 'boolean', description: 'Include key people (default: true)' },
},
required: ['companyName'],
},
},
{
name: 'get_glassdoor_reviews',
description: 'Get Glassdoor company reviews, ratings, and salary data. Understand company culture and employee sentiment.',
inputSchema: {
type: 'object',
properties: {
companyName: { type: 'string', description: 'Company name' },
maxReviews: { type: 'number', description: 'Maximum reviews to fetch (default: 20)' },
includeSalaries: { type: 'boolean', description: 'Include salary data' },
includeInterviews: { type: 'boolean', description: 'Include interview experiences' },
},
required: ['companyName'],
},
},
{
name: 'scrape_g2',
description: 'Scrape G2 reviews for software companies. Essential for competitive intel on SaaS products.',
inputSchema: {
type: 'object',
properties: {
productName: { type: 'string', description: 'Product/company name on G2' },
productUrl: { type: 'string', description: 'Direct G2 product URL (optional, improves accuracy)' },
maxReviews: { type: 'number', description: 'Maximum reviews (default: 25)' },
sortBy: { type: 'string', enum: ['recent', 'helpful', 'rating_high', 'rating_low'], description: 'Sort order for reviews' },
},
required: ['productName'],
},
},
{
name: 'scrape_capterra',
description: 'Scrape Capterra reviews for software products. Compare with G2 for complete picture.',
inputSchema: {
type: 'object',
properties: {
productName: { type: 'string', description: 'Product name on Capterra' },
productUrl: { type: 'string', description: 'Direct Capterra URL (optional)' },
maxReviews: { type: 'number', description: 'Maximum reviews (default: 25)' },
},
required: ['productName'],
},
},
// ==========================================
// REVIEW INTEL (4)
// Review scraping and sentiment analysis
// ==========================================
{
name: 'scrape_trustpilot',
description: 'Scrape Trustpilot reviews for any business. Monitor reputation and customer sentiment.',
inputSchema: {
type: 'object',
properties: {
domain: { type: 'string', description: 'Business domain on Trustpilot' },
businessName: { type: 'string', description: 'Business name (alternative to domain)' },
maxReviews: { type: 'number', description: 'Maximum reviews (default: 50)' },
minRating: { type: 'number', description: 'Filter by minimum star rating (1-5)' },
},
required: ['domain'],
},
},
{
name: 'scrape_yelp',
description: 'Scrape Yelp business profile and reviews. Essential for local business intelligence.',
inputSchema: {
type: 'object',
properties: {
businessName: { type: 'string', description: 'Business name' },
location: { type: 'string', description: 'Business location (city, state)' },
yelpUrl: { type: 'string', description: 'Direct Yelp URL (optional)' },
maxReviews: { type: 'number', description: 'Maximum reviews (default: 50)' },
},
required: ['businessName', 'location'],
},
},
{
name: 'aggregate_reviews',
description: 'Aggregate reviews from multiple platforms (Google, Yelp, Trustpilot, G2, etc.) into one view.',
inputSchema: {
type: 'object',
properties: {
businessName: { type: 'string', description: 'Business name' },
domain: { type: 'string', description: 'Business domain' },
location: { type: 'string', description: 'Business location (for local businesses)' },
platforms: { type: 'array', items: { type: 'string' }, description: 'Platforms to check: google, yelp, trustpilot, bbb, g2, capterra' },
},
required: ['businessName'],
},
},
{
name: 'analyze_sentiment',
description: 'AI-powered sentiment analysis of reviews. Extract themes, identify pain points, and track trends.',
inputSchema: {
type: 'object',
properties: {
businessName: { type: 'string', description: 'Business name to fetch and analyze reviews' },
reviews: { type: 'array', items: { type: 'object' }, description: 'Or provide reviews directly' },
extractThemes: { type: 'boolean', description: 'Extract common themes from reviews (default: true)' },
competitorComparison: { type: 'boolean', description: 'Compare sentiment to competitors' },
},
required: ['businessName'],
},
},
// ==========================================
// COMPETITIVE INTEL (5)
// Monitor and analyze competitors
// ==========================================
{
name: 'monitor_competitors',
description: 'Monitor competitor activity across website, reviews, social, hiring, and pricing.',
inputSchema: {
type: 'object',
properties: {
competitors: { type: 'array', items: { type: 'string' }, description: 'Competitor domains or names' },
monitorTypes: { type: 'array', items: { type: 'string' }, description: 'What to monitor: website_changes, reviews, social, hiring, pricing' },
},
required: ['competitors'],
},
},
{
name: 'scrape_facebook_ads',
description: 'Scrape Facebook Ad Library for competitor ads. See their creative, messaging, and ad spend.',
inputSchema: {
type: 'object',
properties: {
pageName: { type: 'string', description: 'Facebook Page name' },
pageId: { type: 'string', description: 'Facebook Page ID (alternative)' },
country: { type: 'string', description: 'Country code (default: US)' },
activeOnly: { type: 'boolean', description: 'Only show active ads (default: true)' },
maxAds: { type: 'number', description: 'Maximum ads to fetch (default: 50)' },
},
required: ['pageName'],
},
},
{
name: 'track_competitor_keywords',
description: 'Track competitor keyword rankings and discover their SEO strategy.',
inputSchema: {
type: 'object',
properties: {
competitorDomain: { type: 'string', description: 'Competitor domain' },
keywords: { type: 'array', items: { type: 'string' }, description: 'Specific keywords to track (optional)' },
discoverKeywords: { type: 'boolean', description: 'Discover keywords they rank for (default: true)' },
location: { type: 'string', description: 'Location for SERP checks (default: US)' },
},
required: ['competitorDomain'],
},
},
{
name: 'compare_tech_stacks',
description: 'Compare tech stacks across multiple competitors side-by-side.',
inputSchema: {
type: 'object',
properties: {
domains: { type: 'array', items: { type: 'string' }, description: 'Domains to compare (include your own)' },
categories: { type: 'array', items: { type: 'string' }, description: 'Tech categories to focus on' },
},
required: ['domains'],
},
},
{
name: 'competitive_gap_analysis',
description: 'AI-powered competitive gap analysis. Identify opportunities and threats vs competitors.',
inputSchema: {
type: 'object',
properties: {
yourDomain: { type: 'string', description: 'Your company domain' },
competitors: { type: 'array', items: { type: 'string' }, description: 'Competitor domains' },
analysisAreas: { type: 'array', items: { type: 'string' }, description: 'Areas to analyze: features, pricing, positioning, content' },
},
required: ['yourDomain', 'competitors'],
},
},
// ==========================================
// LOCAL BUSINESS INTEL (4)
// Local SEO and business intelligence
// ==========================================
{
name: 'scrape_gbp',
description: 'Scrape Google Business Profile for detailed business data including reviews, posts, and Q&A.',
inputSchema: {
type: 'object',
properties: {
businessName: { type: 'string', description: 'Business name' },
location: { type: 'string', description: 'Business location (required with name)' },
placeId: { type: 'string', description: 'Google Place ID (alternative, more accurate)' },
includeReviews: { type: 'boolean', description: 'Include reviews (default: true)' },
maxReviews: { type: 'number', description: 'Maximum reviews (default: 100)' },
includePosts: { type: 'boolean', description: 'Include GBP posts' },
},
},
},
{
name: 'track_local_serp',
description: 'Track local search rankings for keywords with grid-based rank tracking.',
inputSchema: {
type: 'object',
properties: {
businessName: { type: 'string', description: 'Your business name' },
keywords: { type: 'array', items: { type: 'string' }, description: 'Keywords to track' },
location: { type: 'string', description: 'Location for search (e.g., "Austin, TX")' },
gridSize: { type: 'string', description: 'Grid size for local rank tracking: 3x3, 5x5, 7x7' },
},
required: ['businessName', 'keywords', 'location'],
},
},
{
name: 'audit_citations',
description: 'Audit NAP (Name, Address, Phone) citations across 50+ business directories.',
inputSchema: {
type: 'object',
properties: {
businessName: { type: 'string', description: 'Business name' },
address: { type: 'string', description: 'Business address' },
phone: { type: 'string', description: 'Business phone number' },
website: { type: 'string', description: 'Business website' },
directories: { type: 'array', items: { type: 'string' }, description: 'Specific directories to check (optional)' },
},
required: ['businessName', 'address', 'phone'],
},
},
{
name: 'analyze_local_competitors',
description: 'Analyze local competitors in a service area. Compare ratings, reviews, and market position.',
inputSchema: {
type: 'object',
properties: {
businessName: { type: 'string', description: 'Your business name (optional)' },
category: { type: 'string', description: 'Business category (e.g., "dentist", "plumber")' },
location: { type: 'string', description: 'Location/service area' },
radius: { type: 'number', description: 'Radius in miles (default: 10)' },
maxCompetitors: { type: 'number', description: 'Max competitors to analyze (default: 20)' },
},
required: ['category', 'location'],
},
},
// ==========================================
// SOCIAL INTEL (3)
// Social media and community intelligence
// ==========================================
{
name: 'scrape_reddit',
description: 'Scrape Reddit for brand mentions, industry discussions, and sentiment analysis.',
inputSchema: {
type: 'object',
properties: {
query: { type: 'string', description: 'Search query' },
subreddits: { type: 'array', items: { type: 'string' }, description: 'Specific subreddits to search' },
sortBy: { type: 'string', enum: ['relevance', 'hot', 'new', 'top'], description: 'Sort order' },
timeFilter: { type: 'string', enum: ['hour', 'day', 'week', 'month', 'year', 'all'], description: 'Time filter' },
maxPosts: { type: 'number', description: 'Maximum posts (default: 50)' },
includeComments: { type: 'boolean', description: 'Include top comments' },
},
required: ['query'],
},
},
{
name: 'scrape_quora',
description: 'Scrape Quora for industry questions, expert answers, and thought leadership opportunities.',
inputSchema: {
type: 'object',
properties: {
query: { type: 'string', description: 'Search query or topic' },
maxQuestions: { type: 'number', description: 'Maximum questions (default: 25)' },
includeTopAnswers: { type: 'boolean', description: 'Include top answers for each question' },
},
required: ['query'],
},
},
{
name: 'monitor_brand_mentions',
description: 'Monitor brand mentions across web, social, forums, and review sites.',
inputSchema: {
type: 'object',
properties: {
brandName: { type: 'string', description: 'Brand name to monitor' },
aliases: { type: 'array', items: { type: 'string' }, description: 'Alternative names/spellings' },
platforms: { type: 'array', items: { type: 'string' }, description: 'Platforms: reddit, twitter, news, forums, reviews' },
sentiment: { type: 'boolean', description: 'Include sentiment analysis (default: true)' },
},
required: ['brandName'],
},
},
// ==========================================
// AI-POWERED ACTIONS (5)
// AI-powered sales intelligence and automation
// ==========================================
{
name: 'score_and_prioritize',
description: 'AI-score and prioritize leads based on ICP fit and intent signals. Automatically tier leads A/B/C/D.',
inputSchema: {
type: 'object',
properties: {
leads: { type: 'array', items: { type: 'object' }, description: 'Leads to score (enriched leads work better)' },
idealCustomerProfile: { type: 'object', description: 'Your ICP definition for scoring' },
scoringCriteria: { type: 'array', items: { type: 'string' }, description: 'Custom scoring criteria' },
minScore: { type: 'number', description: 'Minimum score threshold (default: 50)' },
},
required: ['leads'],
},
},
{
name: 'generate_outreach',
description: 'Generate hyper-personalized outreach messages using AI. Creates email, LinkedIn, and phone scripts.',
inputSchema: {
type: 'object',
properties: {
lead: { type: 'object', description: 'Lead data for personalization' },
channel: { type: 'string', enum: ['email', 'linkedin', 'phone'], description: 'Outreach channel' },
tone: { type: 'string', enum: ['professional', 'casual', 'friendly', 'direct'], description: 'Message tone' },
valueProposition: { type: 'string', description: 'Your value proposition to highlight' },
callToAction: { type: 'string', description: 'Desired call to action' },
variants: { type: 'number', description: 'Number of variants to generate (default: 3)' },
},
required: ['lead', 'channel'],
},
},
{
name: 'analyze_buying_signals',
description: 'Detect and analyze buying signals from multiple data sources. Identify hot leads.',
inputSchema: {
type: 'object',
properties: {
companyDomain: { type: 'string', description: 'Company domain to analyze' },
linkedinProfiles: { type: 'array', items: { type: 'string' }, description: 'LinkedIn profiles to check for signals' },
signalTypes: { type: 'array', items: { type: 'string' }, description: 'Signal types: hiring, funding, tech_change, executive_change, expansion' },
},
required: ['companyDomain'],
},
},
{
name: 'predict_deal_probability',
description: 'AI-predict deal close probability based on lead data, engagement, and signals.',
inputSchema: {
type: 'object',
properties: {
lead: { type: 'object', description: 'Lead/deal data' },
dealSize: { type: 'number', description: 'Expected deal size' },
salesCycle: { type: 'number', description: 'Days in sales cycle' },
engagementHistory: { type: 'array', items: { type: 'object' }, description: 'History of engagements' },
},
required: ['lead'],
},
},
{
name: 'recommend_approach',
description: 'AI-recommend the best sales approach, channel, timing, and messaging for a lead.',
inputSchema: {
type: 'object',
properties: {
lead: { type: 'object', description: 'Enriched lead data' },
yourProduct: { type: 'string', description: 'Description of your product/service' },
competitiveLandscape: { type: 'string', description: 'Known competitors they might use' },
previousAttempts: { type: 'array', items: { type: 'object' }, description: 'Previous outreach attempts' },
},
required: ['lead'],
},
},
// ==========================================
// FULL PIPELINES (3)
// End-to-end automated workflows
// ==========================================
{
name: 'full_company_research',
description: 'Complete company research pipeline - tech stack, funding, reviews, contacts, competitors all in one call.',
inputSchema: {
type: 'object',
properties: {
domain: { type: 'string', description: 'Company domain' },
companyName: { type: 'string', description: 'Company name' },
depth: { type: 'string', enum: ['quick', 'standard', 'deep'], description: 'Research depth (affects time and completeness)' },
},
required: ['domain'],
},
},
{
name: 'full_prospect_pipeline',
description: 'Complete prospect pipeline - discover prospects, enrich, score, and generate personalized outreach all in one.',
inputSchema: {
type: 'object',
properties: {
query: { type: 'string', description: 'Prospect search query' },
location: { type: 'string', description: 'Location to search' },
maxProspects: { type: 'number', description: 'Maximum prospects (default: 50)' },
idealCustomerProfile: { type: 'object', description: 'Your ICP for scoring' },
generateOutreach: { type: 'boolean', description: 'Generate outreach for top leads (default: true)' },
outreachChannel: { type: 'string', enum: ['email', 'linkedin'], description: 'Channel for outreach' },
},
required: ['query', 'location'],
},
},
{
name: 'full_competitive_audit',
description: 'Complete competitive audit - tech, content, reviews, ads, SEO, positioning all analyzed and compared.',
inputSchema: {
type: 'object',
properties: {
yourDomain: { type: 'string', description: 'Your company domain' },
competitors: { type: 'array', items: { type: 'string' }, description: 'Competitor domains' },
auditAreas: { type: 'array', items: { type: 'string' }, description: 'Areas to audit: tech, content, reviews, ads, seo, social' },
generateReport: { type: 'boolean', description: 'Generate summary report (default: true)' },
},
required: ['yourDomain', 'competitors'],
},
},
];
// ============= MCP SERVER SETUP =============
function createServer() {
const server = new Server(
{
name: 'god-mode-intel-mcp',
version: '1.0.0',
},
{
capabilities: {
tools: {},
},
}
);
// List available tools
server.setRequestHandler(ListToolsRequestSchema, async () => {
return { tools: TOOLS };
});
// Handle tool calls
server.setRequestHandler(CallToolRequestSchema, async (request) => {
const { name, arguments: args } = request.params;
try {
const result = await executeToolViaApify(name, args || {});
return {
content: [
{
type: 'text',
text: JSON.stringify(result, null, 2),
},
],
};
} catch (error) {
const errorMessage = error instanceof Error ? error.message : String(error);
return {
content: [
{
type: 'text',
text: JSON.stringify({
error: errorMessage,
tool: name,
hint: 'Check APIFY_TOKEN env var or use demo mode'
}),
},
],
isError: true,
};
}
});
return server;
}
// ============= TOOL EXECUTION =============
async function executeToolViaApify(
toolName: string,
toolInput: Record<string, unknown>
): Promise<unknown> {
if (!APIFY_TOKEN) {
return getDemoData(toolName, toolInput);
}
try {
const client = new ApifyClient({ token: APIFY_TOKEN });
const run = await client.actor(APIFY_ACTOR_ID).call({
tool: toolName,
toolInput,
demoMode: false,
});
const dataset = await client.dataset(run.defaultDatasetId).listItems();
return dataset.items[0] || { success: true, data: null };
} catch (error) {
console.error(`Apify execution error for ${toolName}:`, error);
return getDemoData(toolName, toolInput);
}
}
// ============= DEMO DATA =============
function getDemoData(toolName: string, input: Record<string, unknown>): unknown {
const demoResponses: Record<string, () => unknown> = {
find_prospects: () => ({
success: true,
demoMode: true,
prospects: [
{
name: 'Austin Dental Care',
address: '123 Main St, Austin, TX 78701',
phone: '(512) 555-0101',
website: 'https://austindentalcare.com',
rating: 4.8,
reviewCount: 342,
category: 'Dentist',
},
{
name: 'Smile Studio Austin',
address: '456 Congress Ave, Austin, TX 78701',
phone: '(512) 555-0202',
website: 'https://smilestudioaustin.com',
rating: 4.6,
reviewCount: 189,
category: 'Cosmetic Dentist',
},
],
totalFound: 2,
query: input.query,
location: input.location,
}),
enrich_lead: () => ({
success: true,
demoMode: true,
original: input,
enriched: {
email: input.email || 'john@acme.com',
firstName: input.firstName || 'John',
lastName: input.lastName || 'Smith',
title: 'VP of Marketing',
company: 'Acme Corporation',
companySize: '100-500',
industry: 'Technology',
location: 'San Francisco, CA',
linkedinUrl: 'https://linkedin.com/in/johnsmith',
confidence: 0.95,
},
}),
scrape_linkedin_profile: () => ({
success: true,
demoMode: true,
name: 'Alex Thompson',
headline: 'CEO & Founder at TechStartup | Forbes 30 Under 30',
location: 'San Francisco Bay Area',
connections: '500+',
followers: 15420,
about: 'Building the future of B2B intelligence.',
experience: [
{ title: 'CEO & Founder', company: 'TechStartup', duration: '3 years' },
{ title: 'Product Manager', company: 'Google', duration: '4 years' },
],
skills: ['Leadership', 'Product Strategy', 'AI/ML'],
}),
research_company: () => ({
success: true,
demoMode: true,
company: {
name: 'Research Target Inc',
domain: input.domain || 'researchtarget.com',
industry: 'Enterprise Software',
size: '100-500',
founded: 2018,
},
techStack: {
frontend: ['React', 'TypeScript'],
backend: ['Node.js', 'Python'],
infrastructure: ['AWS', 'Kubernetes'],
},
funding: {
totalRaised: '$45M',
lastRound: 'Series B',
lastRoundDate: '2023-09',
},
}),
generate_outreach: () => ({
success: true,
demoMode: true,
channel: input.channel || 'email',
variants: [
{
subject: 'Quick question about your sales process',
body: 'Hi [First Name],\n\nI noticed [Company] recently expanded your sales team - congrats on the growth!\n\nI work with similar companies who have seen 3x improvement in...',
personalizationPoints: ['Recent hiring activity', 'Industry challenges'],
estimatedResponseRate: 0.18,
},
{
subject: 'Congrats on the growth!',
body: 'Hey [First Name],\n\nSaw the news about [Company]s expansion...',
personalizationPoints: ['Company news', 'Growth trajectory'],
estimatedResponseRate: 0.22,
},
],
}),
score_and_prioritize: () => ({
success: true,
demoMode: true,
scored: [
{
lead: { email: 'hot@enterprise.com', company: 'Enterprise Corp' },
score: 92,
tier: 'A',
buyingSignals: ['Recently raised funding', 'Expanding team'],
recommendedApproach: 'Executive outreach with ROI focus',
},
{
lead: { email: 'warm@midmarket.com', company: 'MidMarket Inc' },
score: 75,
tier: 'B',
buyingSignals: ['Evaluating new tools'],
recommendedApproach: 'Educational content nurture',
},
],
summary: { totalScored: 2, tierA: 1, tierB: 1 },
}),
full_prospect_pipeline: () => ({
success: true,
demoMode: true,
summary: {
prospectsFound: 50,
leadsEnriched: 50,
topTierLeads: 12,
outreachGenerated: 12,
estimatedPipelineValue: '$1.2M',
},
topLeads: [
{ name: 'Prospect 1', score: 92, tier: 'A' },
{ name: 'Prospect 2', score: 78, tier: 'B' },
],
}),
};
const handler = demoResponses[toolName];
if (handler) {
return handler();
}
return {
success: true,
demoMode: true,
tool: toolName,
input,
message: 'Demo mode - set APIFY_TOKEN for real data',
hint: 'Get your Apify token at https://console.apify.com/settings/integrations',
};
}
// ============= HTTP SERVER FOR VERCEL/SSE =============
const app = express();
app.use(express.json());
// Health check
app.get('/', (_req: Request, res: Response) => {
res.json({
name: 'GOD MODE INTEL MCP Server',
version: '1.0.0',
description: 'Ultimate B2B Intelligence MCP Server with 48+ tools',
status: 'running',
tools: TOOLS.length,
endpoints: {
sse: '/sse',
health: '/',
tools: '/tools',
execute: '/execute',
},
documentation: 'https://github.com/localhowl/god-mode-intel-mcp',
makeChallenge: 'https://www.make.com/en/mcp-community-challenge',
});
});
// List all tools (REST endpoint)
app.get('/tools', (_req: Request, res: Response) => {
res.json({
tools: TOOLS.map(t => ({
name: t.name,
description: t.description,
})),
total: TOOLS.length,
categories: {
discovery: 5,
enrichment: 3,
linkedin: 3,
company_research: 6,
reviews: 4,
competitive: 5,
local_business: 4,
social: 3,
ai_powered: 5,
pipelines: 3,
},
});
});
// Direct tool execution (REST endpoint for testing)
app.post('/execute', async (req: Request, res: Response) => {
const { tool, input } = req.body;
if (!tool) {
res.status(400).json({ error: 'Missing "tool" in request body' });
return;
}
try {
const result = await executeToolViaApify(tool, input || {});
res.json(result);
} catch (error) {
const errorMessage = error instanceof Error ? error.message : String(error);
res.status(500).json({ error: errorMessage });
}
});
// SSE endpoint for MCP protocol
app.get('/sse', async (req: Request, res: Response) => {
console.log('SSE connection established');
const server = createServer();
const transport = new SSEServerTransport('/messages', res);
await server.connect(transport);
req.on('close', () => {
console.log('SSE connection closed');
});
});
// Messages endpoint for SSE
app.post('/messages', async (req: Request, res: Response) => {
// Handle MCP messages via SSE
res.json({ received: true });
});
// ============= START SERVER =============
async function main() {
const args = process.argv.slice(2);
if (args.includes('--stdio') || args.includes('-s')) {
// Stdio mode for Claude Desktop
console.error('Starting GOD MODE INTEL MCP Server in stdio mode...');
const server = createServer();
const transport = new StdioServerTransport();
await server.connect(transport);
console.error('Server running on stdio');
} else {
// HTTP mode for Vercel/Make.com
app.listen(PORT, () => {
console.log(`
╔═══════════════════════════════════════════════════════════════╗
║ ║
║ GOD MODE INTEL MCP Server ║
║ Ultimate B2B Intelligence - 48+ Tools ║
║ ║
║ Server running on port ${PORT} ║
║ ║
║ Endpoints: ║
║ • Health: http://localhost:${PORT}/ ║
║ • Tools: http://localhost:${PORT}/tools ║
║ • Execute: http://localhost:${PORT}/execute ║
║ • SSE: http://localhost:${PORT}/sse ║
║ ║
║ Make.com Challenge Entry ║
║ https://www.make.com/en/mcp-community-challenge ║
║ ║
╚═══════════════════════════════════════════════════════════════╝
`);
});
}
}
// Handle Vercel serverless
export default app;
// Run if executed directly
main().catch(console.error);
