GOD MODE INTEL Server

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A comprehensive B2B intelligence server providing over 48 tools for lead generation, company research, and sales automation via the Model Context Protocol. It e

автор: johnrippy1980

GitHub

Описание

A comprehensive B2B intelligence server providing over 48 tools for lead generation, company research, and sales automation via the Model Context Protocol. It enables AI-powered prospect discovery, enrichment, and competitive analysis through seamless integrations with Make.com, Claude Desktop, and Apify.

README

The Ultimate B2B Sales Intelligence Platform for Make.com | 48+ AI-Powered Tools (7 Standalone!)

Enterprise-grade B2B intelligence at your fingertips. GOD MODE INTEL MCP consolidates lead discovery, company research, competitive analysis, LinkedIn scraping, review aggregation, and AI-powered sales automation into a single, unified MCP server designed for Make.com, Claude Desktop, Zapier, n8n, and any MCP-compatible client.

Key Features:

48 total tools spanning 10 intelligence categories
7 standalone tools that work WITHOUT any API keys or external services!
41 Apify-powered tools for real-time web scraping
Full MCP protocol support (stdio + HTTP/SSE)

Make.com MCP Challenge Zapier Zappy 2025 MCP Protocol Total Tools Standalone Tools License: MIT

Built for the Make.com MCP Community Challenge - Managing and Scaling Workflows with Make and MCP

Why GOD MODE INTEL?

The Problem: Sales Intelligence Tool Sprawl

Modern B2B sales teams face a fragmented landscape:

$500-2,000/month spent on 5-10 different tools (Apollo, ZoomInfo, BuiltWith, SimilarWeb, etc.)
Hours wasted switching between platforms and manually copying data
No unified workflow - data silos everywhere
Complex integrations that break and require maintenance
Inconsistent data formats that don't talk to each other

The Solution: One MCP Server to Rule Them All

GOD MODE INTEL consolidates everything into a single MCP endpoint with:

48+ intelligence tools spanning 10 categories
Native MCP protocol support for AI-first workflows
Unified data format across all tools
Real-time execution with live data (not stale databases)
Pay-per-use pricing - no monthly minimums
Seamless Make.com integration via HTTP/SSE

Enterprise-Grade Scaling with MCP

This solution demonstrates how MCP enables true enterprise scaling by:

Unified Context Layer: All 48+ tools share a common data format, enabling seamless chaining in Make scenarios
AI Agent Infrastructure: Works with Claude, GPT, and any MCP-compatible AI for autonomous research
Horizontal Scaling: Spin up multiple workers via Make scenarios for parallel processing
Dynamic Tool Selection: AI agents can choose the right tool based on task requirements

Live Demo

Try it now: https://god-mode-intel-mcp.vercel.app

# Test the API directly
curl -X POST https://god-mode-intel-mcp.vercel.app/execute \
  -H "Content-Type: application/json" \
  -d '{"tool": "scan_tech_stack", "input": {"url": "https://stripe.com"}}'

Platform Integrations

GOD MODE INTEL works with all major automation platforms:

Platform	Integration Method	Best For
Make.com	HTTP Module, MCP Module, or SSE	Complex multi-step workflows with visual builder
Zapier	Webhooks or custom integration	Simple trigger-action automations
n8n	HTTP Request Node	Self-hosted, privacy-focused workflows
Claude Desktop	MCP Protocol (stdio)	AI-assisted interactive research
Custom Apps	REST API or Webhooks	Direct programmatic integration

Tool Categories (48+ Tools)

Lead Discovery & Prospecting (5 tools)

Tool	Description	Use Case
`find_prospects`	Search Google Maps for local businesses	"Find all dentists in Austin, TX"
`find_lookalikes`	Find companies similar to your best customers	"Find 50 companies like Stripe"
`scrape_local_leads`	Bulk extract local business data	"Get all restaurants in 5 cities"
`discover_companies`	AI-powered company discovery from any URL	"Find SaaS companies mentioned on TechCrunch"
`enrich_from_url`	Extract company data from any webpage	"Pull company info from this About page"

Lead Enrichment (3 tools)

Tool	Description	Use Case
`enrich_lead`	Full enrichment: email, company, social, tech stack	"Enrich [email protected]"
`enrich_leads_batch`	Enrich up to 100 leads at once	"Enrich my CSV of 100 leads"
`enrich_company_contacts`	Find decision-makers at a company	"Find VPs at Salesforce"

LinkedIn Intelligence (3 tools)

Tool	Description	Use Case
`scrape_linkedin_profile`	Full profile: experience, education, skills	"Get profile data for /in/elonmusk"
`scrape_linkedin_posts`	Recent posts with engagement metrics	"Analyze their content strategy"
`analyze_linkedin_voice`	AI analysis of writing style and tone	"Personalize outreach to match their voice"

Company Research (6 tools)

Tool	Description	Use Case
`research_company`	Comprehensive company intel in one call	"Tell me everything about Stripe"
`scan_tech_stack`	Detect 100+ technologies on any website	"What tools does Shopify use?"
`get_crunchbase_data`	Funding rounds, investors, key people	"Who invested in OpenAI?"
`get_glassdoor_reviews`	Employee reviews, ratings, salary data	"What's the culture like at Meta?"
`scrape_g2`	G2 software reviews and ratings	"What do users say about HubSpot?"
`scrape_capterra`	Capterra reviews and comparisons	"Compare Salesforce vs HubSpot"

Review Intelligence (4 tools)

Tool	Description	Use Case
`scrape_trustpilot`	Consumer reviews and trust scores	"Check reputation of this vendor"
`scrape_yelp`	Local business reviews	"Get reviews for this restaurant"
`aggregate_reviews`	Combine reviews from all platforms	"Show me all reviews everywhere"
`analyze_sentiment`	AI sentiment analysis of reviews	"What are the common complaints?"

Competitive Intelligence (5 tools)

Tool	Description	Use Case
`monitor_competitors`	Track website, hiring, social changes	"Alert me when competitors update pricing"
`scrape_facebook_ads`	Facebook Ad Library scraping	"What ads are my competitors running?"
`track_competitor_keywords`	SEO keyword tracking	"What keywords do they rank for?"
`compare_tech_stacks`	Side-by-side technology comparison	"How does our stack compare?"
`competitive_gap_analysis`	AI-powered gap analysis	"Where are we falling behind?"

Local Business Intelligence (4 tools)

Tool	Description	Use Case
`scrape_gbp`	Google Business Profile data	"Get all GBP data for this business"
`track_local_serp`	Local pack ranking tracking	"Where do we rank for 'plumber near me'?"
`audit_citations`	NAP consistency across 50+ directories	"Find citation errors"
`analyze_local_competitors`	Local market competitive analysis	"Who are the top 10 dentists nearby?"

Social Intelligence (3 tools)

Tool	Description	Use Case
`scrape_reddit`	Reddit discussions and sentiment	"What does Reddit say about our product?"
`scrape_quora`	Quora questions and answers	"Find questions we can answer"
`monitor_brand_mentions`	Cross-platform brand monitoring	"Track mentions of our brand"

AI-Powered Sales Actions (5 tools)

Tool	Description	Use Case
`score_and_prioritize`	AI lead scoring based on ICP fit	"Rank these 100 leads A/B/C/D"
`generate_outreach`	Hyper-personalized message generation	"Write 3 email variants for this lead"
`analyze_buying_signals`	Detect intent from multiple sources	"Is this company ready to buy?"
`predict_deal_probability`	AI deal close prediction	"What's the chance this closes?"
`recommend_approach`	AI sales strategy recommendation	"How should I approach this prospect?"

Full Pipelines (3 tools)

Tool	Description	Use Case
`full_company_research`	Tech + funding + reviews + contacts in one call	"Complete dossier on this company"
`full_prospect_pipeline`	Discover → Enrich → Score → Generate Outreach	"Find and prep 50 leads automatically"
`full_competitive_audit`	Tech + content + ads + SEO + reviews audit	"Full competitive analysis report"

⚡ Standalone Tools (7 tools) - NO API Keys Required!

These tools work independently without ANY external APIs or services. Perfect for testing, prototyping, and instant results!

Tool	Description	Use Case
`validate_email`	Validate email format + check MX records	"Is this email deliverable?"
`validate_domain`	Check domain DNS A/MX records	"Does this company domain exist?"
`extract_url_metadata`	Scrape title, description, OG tags, tech detection	"What's on this webpage?"
`calculate_lead_score`	AI-powered lead scoring based on ICP	"Score this lead A/B/C/D"
`parse_business_card`	Extract structured data from text	"Parse this business card text"
`clean_lead_data`	Normalize phones, capitalize names, validate emails	"Clean up my lead list"
`generate_icp_questions`	Generate discovery/qualification questions	"What should I ask this prospect?"

Why Standalone Tools Matter:

✅ No API keys required - start using immediately
✅ No usage costs - unlimited executions
✅ Instant results - no external service calls
✅ Works offline (except extract_url_metadata)
✅ Perfect for testing Make.com scenarios

# Try a standalone tool right now - no setup needed!
curl -X POST https://god-mode-intel-mcp.vercel.app/execute \
  -H "Content-Type: application/json" \
  -d '{"tool": "calculate_lead_score", "input": {"lead": {"company_size": "enterprise", "job_title": "VP Sales", "has_budget": true, "timeline": "immediate"}}}'

Quick Start Guide

Option 1: Deploy to Vercel (Recommended for Make.com)

# Clone the repository
git clone https://github.com/jrippy/god-mode-intel-mcp-server.git
cd god-mode-intel-mcp-server

# Install dependencies
npm install

# Build
npm run build

# Deploy to Vercel
vercel deploy --prod

# Set your Apify token (optional - enables real data)
vercel env add APIFY_TOKEN

Option 2: Run Locally

# Clone and install
git clone https://github.com/jrippy/god-mode-intel-mcp-server.git
cd god-mode-intel-mcp-server
npm install
npm run build

# Run HTTP server (for Make.com)
npm start

# Or run stdio mode (for Claude Desktop)
npm run start:stdio

Option 3: Use the Hosted Version

Already deployed and ready to use:

https://god-mode-intel-mcp.vercel.app

Make.com Integration Guide

Method 1: HTTP Module (Simple)

Add HTTP module to your scenario

Configure:

URL: https://god-mode-intel-mcp.vercel.app/execute
Method: POST
Body type: JSON
Request content:

{
  "tool": "find_prospects",
  "input": {
    "query": "{{1.searchQuery}}",
    "location": "{{1.location}}",
    "maxResults": 25
  }
}

Method 2: MCP Module (Advanced)

Add MCP module to your scenario
Configure MCP Server URL: https://god-mode-intel-mcp.vercel.app/sse
Select from 48+ available tools
Map inputs from previous modules

Method 3: Webhook Receiver

Configure GOD MODE INTEL to send results directly to your Make webhook:

{
  "tool": "find_prospects",
  "input": { "query": "dentists", "location": "Austin, TX" },
  "webhookUrl": "https://hook.make.com/your-webhook-id"
}

Example Make.com Scenarios

Scenario 1: Automated Lead Generation Pipeline

Schedule (Weekly)
    ↓
GOD MODE INTEL: find_prospects
    ↓
Iterator: Process each prospect
    ↓
GOD MODE INTEL: enrich_lead
    ↓
GOD MODE INTEL: score_and_prioritize
    ↓
Router:
  ├─ Score > 80: GOD MODE INTEL: generate_outreach → Gmail: Send email
  └─ Score < 80: Google Sheets: Add to nurture list

Scenario 2: Competitive Intelligence Dashboard

Schedule (Daily)
    ↓
GOD MODE INTEL: monitor_competitors
    ↓
GOD MODE INTEL: scrape_facebook_ads
    ↓
GOD MODE INTEL: compare_tech_stacks
    ↓
Airtable: Update competitive database
    ↓
Slack: Send daily digest

Scenario 3: Inbound Lead Enrichment

Webhook: New lead from form
    ↓
GOD MODE INTEL: enrich_lead
    ↓
GOD MODE INTEL: analyze_buying_signals
    ↓
HubSpot: Create/Update contact
    ↓
If buying signals detected:
  └─ Slack: Alert sales team

Scenario 4: AI-Powered Social Prospecting

Schedule (Daily)
    ↓
GOD MODE INTEL: scrape_reddit (industry subreddits)
    ↓
Filter: Posts mentioning buying intent
    ↓
GOD MODE INTEL: enrich_from_url (poster's profile)
    ↓
GOD MODE INTEL: generate_outreach
    ↓
Notion: Add to prospect database

API Reference

Endpoints

Endpoint	Method	Description
`/`	GET	Server info, status, and tool count
`/tools`	GET	List all 48+ tools with schemas
`/execute`	POST	Execute a tool directly
`/sse`	GET	SSE endpoint for MCP protocol
`/health`	GET	Health check

Execute Tool Request

curl -X POST https://god-mode-intel-mcp.vercel.app/execute \
  -H "Content-Type: application/json" \
  -d '{
    "tool": "scan_tech_stack",
    "input": {
      "url": "https://stripe.com",
      "deepScan": true
    }
  }'

Response Format

All tools return a consistent JSON structure:

{
  "success": true,
  "tool": "scan_tech_stack",
  "data": {
    "url": "https://stripe.com",
    "technologies": [
      { "name": "React", "category": "FRAMEWORK", "confidence": "HIGH" },
      { "name": "Ruby on Rails", "category": "FRAMEWORK", "confidence": "HIGH" },
      { "name": "Google Analytics", "category": "ANALYTICS", "confidence": "HIGH" }
    ],
    "summary": {
      "framework": "React, Ruby on Rails",
      "analytics": ["Google Analytics", "Segment"],
      "hosting": "AWS",
      "cdn": "Cloudflare"
    }
  },
  "actorRunId": "xyz789abc",
  "actorStatus": "SUCCEEDED"
}

Environment Variables

Variable	Required	Description
`APIFY_TOKEN`	No*	Apify API token for real data scraping
`PORT`	No	HTTP server port (default: 3000)
`ANTHROPIC_API_KEY`	No	For AI-powered tools (Claude)
`OPENAI_API_KEY`	No	For AI-powered tools (GPT fallback)

*Without APIFY_TOKEN, the server runs in demo mode with realistic sample data - perfect for testing Make scenarios!

Architecture

┌─────────────────────────────────────────────────────────────┐
│                Make.com / Claude Desktop / Zapier            │
└─────────────────────────────────┬───────────────────────────┘
                                  │
                    ┌─────────────▼─────────────┐
                    │   MCP Protocol Layer      │
                    │   (HTTP/SSE or Stdio)     │
                    └─────────────┬─────────────┘
                                  │
              ┌───────────────────▼───────────────────┐
              │      GOD MODE INTEL MCP Server        │
              │   ┌─────────────────────────────┐     │
              │   │    48+ Intelligence Tools   │     │
              │   └─────────────┬───────────────┘     │
              │                 │                      │
              │   ┌─────────────▼───────────────┐     │
              │   │    Tool Router & Executor   │     │
              │   └─────────────┬───────────────┘     │
              └─────────────────┼─────────────────────┘
                                │
                    ┌───────────▼───────────┐
                    │   Apify Actor Backend │
                    │   (Real-time scraping) │
                    └───────────┬───────────┘
                                │
        ┌───────────────────────┼───────────────────────┐
        │           │           │           │           │
   ┌────▼────┐ ┌────▼────┐ ┌────▼────┐ ┌────▼────┐ ┌────▼────┐
   │ Google  │ │LinkedIn │ │   G2    │ │Crunch-  │ │ Apollo  │
   │  Maps   │ │         │ │ Crowd   │ │  base   │ │ Hunter  │
   └─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘

Demo Mode

Run without APIFY_TOKEN to test all tools with realistic sample data:

# Start server
npm start

# Test any tool - returns demo data
curl -X POST http://localhost:3000/execute \
  -H "Content-Type: application/json" \
  -d '{"tool": "find_prospects", "input": {"query": "dentists", "location": "Austin, TX"}}'

Demo mode is perfect for:

Testing Make.com scenarios before going live
Developing integrations without API costs
Demonstrating capabilities to stakeholders
Building and debugging workflows

Use Cases

Sales & Lead Generation

Automate prospect discovery with find_prospects
Enrich your CRM with enrich_leads_batch
Generate personalized outreach with generate_outreach
Score and prioritize leads with score_and_prioritize

Competitive Intelligence

Monitor competitor changes with monitor_competitors
Analyze their ad strategies with scrape_facebook_ads
Identify market gaps with competitive_gap_analysis

Account-Based Marketing

Find lookalike accounts with find_lookalikes
Map decision makers with enrich_company_contacts
Research deeply with full_company_research

Local Business Marketing

Audit Google Business Profiles with scrape_gbp
Track local rankings with track_local_serp
Check citation consistency with audit_citations

Pricing

Pay-Per-Use Model

No monthly fees. Only pay for successful results.

Operation	Cost
Prospect found	$0.01
Lead enriched	$0.05
LinkedIn profile	$0.03
Company research	$0.10
Tech stack scan	$0.02
Review scraped	$0.01
AI analysis	$0.05
Full pipeline	$0.25-0.50

Cost Comparison vs Traditional Tools

Task	Traditional Tools	GOD MODE INTEL
1,000 leads enriched	$500-2,000/mo	$50 one-time
Competitive analysis	$300/mo (SimilarWeb)	$5-10 per report
Tech stack detection	$100/mo (BuiltWith)	$0.02 per scan
LinkedIn scraping	$100/mo + manual	$0.03 per profile

More Tools & Resources

Check out my other projects:

Actor Arsenal - 280+ Apify actors for web scraping and automation
Zapier Quake - Zapier integrations and automation tools
Duke SEMrush Tools - SEO and marketing intelligence tools

Support & Contact

Website: johnrippy.link
LinkedIn: linkedin.com/in/johnrippy
Actor Arsenal: actor-arsenal-site.vercel.app
GitHub Issues: Report bugs or request features

Changelog

v2.1.0 (Current)

NEW: 7 Standalone Tools - work without ANY external APIs!
- validate_email - email format + MX record validation
- validate_domain - domain DNS checking
- extract_url_metadata - scrape web page metadata
- calculate_lead_score - built-in lead scoring algorithm
- parse_business_card - extract structured contact data
- clean_lead_data - normalize and clean lead lists
- generate_icp_questions - generate sales qualification questions
Tool routing: standalone tools bypass Apify entirely
Updated health endpoint with tool breakdown
Version bump to 2.1.0

v2.0.0

True MCP protocol implementation
48+ tools across 10 categories
Real-time data via Apify actor routing
AI-powered analysis with Claude/GPT
Full Make.com SSE integration
Unified output schema
Demo mode for testing

v1.0.0

Initial release
Basic tool structure

Built by John Rippy

Dominate your market with intelligence.

GOD MODE INTEL is built by John Rippy, Zapier Zappy 2025 Automation Hero of the Year winner. Specializing in B2B sales intelligence, web scraping, and automation with 280+ Apify actors and deep expertise in Make.com, Zapier, and n8n integrations.

"John Rippy was named Automation Hero of the Year at the 2025 Zappy Awards for his innovative work scaling sales and marketing through automation." - Zapier Blog

Zappy Award Winner LinkedIn Website Actor Arsenal

License

MIT License - see LICENSE for details.

Keywords: Make.com MCP, Model Context Protocol, B2B sales intelligence, lead generation, lead enrichment, competitive intelligence, LinkedIn scraper, company research, tech stack detection, review scraping, AI sales tools, Make automation, Zapier alternative, sales automation, prospect discovery, local business leads

Как установить

Добавь это в claude_desktop_config.json и перезапусти Claude Desktop.

{
  "mcpServers": {
    "god-mode-intel-mcp-server": {
      "command": "npx",
      "args": []
    }
  }
}