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GOD MODE INTEL MCP Server

GOD MODE INTEL MCP Server

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 - 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:

  1. Unified Context Layer: All 48+ tools share a common data format, enabling seamless chaining in Make scenarios

  2. AI Agent Infrastructure: Works with Claude, GPT, and any MCP-compatible AI for autonomous research

  3. Horizontal Scaling: Spin up multiple workers via Make scenarios for parallel processing

  4. 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 john@acme.com"

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

# 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)

  1. Add HTTP module to your scenario

  2. 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)

  1. Add MCP module to your scenario

  2. Configure MCP Server URL: https://god-mode-intel-mcp.vercel.app/sse

  3. Select from 48+ available tools

  4. 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:


Support & Contact


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

-
security - not tested
A
license - permissive license
-
quality - not tested

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