GOD MODE INTEL MCP Server
The Ultimate B2B Intelligence Server for Make.com and AI Automation
48+ B2B Intelligence Tools via the Model Context Protocol (MCP) - Built for the Make.com Community Challenge
What is GOD MODE INTEL?
GOD MODE INTEL is a comprehensive Model Context Protocol (MCP) server that provides AI-powered B2B intelligence tools for lead generation, company research, competitive analysis, and sales automation. It integrates seamlessly with Make.com, Claude Desktop, and any MCP-compatible client.
Key Features
- 48+ Intelligence Tools across 10 specialized categories
- True MCP Protocol - Full compliance with the Model Context Protocol specification
- Dual Transport - HTTP/SSE for Make.com + Stdio for Claude Desktop
- Demo Mode - Test all tools without API costs
- Apify Backend - Powered by enterprise-grade web scraping infrastructure
- Vercel-Ready - One-click serverless deployment
Tool Categories
| Category | Tools | Description |
|---|---|---|
| Discovery | 5 | Find prospects, lookalike companies, and market opportunities |
| Enrichment | 3 | Enrich leads with contact info, company data, and social profiles |
| 3 | Scrape profiles, analyze content voice, monitor activity | |
| Company Research | 6 | Deep company intel, tech stacks, funding, Crunchbase data |
| Reviews | 4 | Aggregate reviews from G2, Trustpilot, Yelp, Google |
| Competitive Intel | 5 | Monitor competitors, analyze ads, gap analysis |
| Local Business | 4 | Google Business Profiles, local SERP, citations |
| Social Listening | 3 | Reddit, Quora, brand mention monitoring |
| AI-Powered | 5 | Lead scoring, outreach generation, buying signals |
| Pipelines | 3 | End-to-end research and prospecting workflows |
Complete Tool Reference
Discovery Tools
| Tool | Description | Use Case |
|---|---|---|
find_prospects | Find B2B prospects using Google Maps, LinkedIn, and business databases | Lead generation campaigns |
find_lookalikes | Discover companies similar to your best customers | Account-based marketing |
discover_companies | Search for companies by industry, size, location, and technology | Market research |
identify_decision_makers | Find C-suite executives and key decision makers at target companies | Sales targeting |
build_target_list | Create filtered, prioritized prospect lists with scoring | Outbound campaigns |
Enrichment Tools
| Tool | Description | Use Case |
|---|---|---|
enrich_lead | Add email, phone, social profiles, and company data to leads | CRM enrichment |
enrich_leads_batch | Bulk enrichment for up to 100 leads at once | Database cleaning |
enrich_company_contacts | Find all contacts at a specific company | Account mapping |
LinkedIn Tools
| Tool | Description | Use Case |
|---|---|---|
scrape_linkedin_profile | Extract profile data, experience, skills, and connections | Sales research |
analyze_linkedin_voice | Analyze a profile's content style and engagement patterns | Personalized outreach |
monitor_linkedin_activity | Track profile updates, posts, and job changes | Trigger-based selling |
Company Research Tools
| Tool | Description | Use Case |
|---|---|---|
research_company | Comprehensive company research including financials and tech | Due diligence |
scan_tech_stack | Identify technologies used by a company's website | Competitive analysis |
get_crunchbase_data | Funding rounds, investors, acquisitions, and key people | Investment research |
analyze_website | Deep analysis of company website structure and content | Market intelligence |
extract_job_postings | Current job openings indicating growth and priorities | Buying signals |
get_funding_news | Recent funding announcements and press releases | Trigger events |
Reviews & Reputation Tools
| Tool | Description | Use Case |
|---|---|---|
scrape_trustpilot | Customer reviews and ratings from Trustpilot | Reputation analysis |
scrape_yelp | Business reviews and ratings from Yelp | Local reputation |
scrape_g2_reviews | B2B software reviews from G2 Crowd | Competitive intel |
aggregate_reviews | Combine reviews from multiple platforms | Sentiment analysis |
Competitive Intelligence Tools
| Tool | Description | Use Case |
|---|---|---|
monitor_competitors | Track competitor websites, pricing, and product changes | Market monitoring |
scrape_facebook_ads | Analyze competitor Facebook/Meta advertising | Ad intelligence |
competitive_gap_analysis | Compare features, pricing, and positioning | Strategy planning |
track_pricing_changes | Monitor competitor pricing updates | Pricing strategy |
analyze_market_positioning | Understand competitor market positioning | Brand strategy |
Local Business Tools
| Tool | Description | Use Case |
|---|---|---|
scrape_gbp | Google Business Profile data extraction | Local SEO |
track_local_serp | Monitor local search rankings | Rank tracking |
audit_citations | Check NAP consistency across directories | Citation management |
local_competitor_analysis | Analyze local market competition | Local strategy |
Social Listening Tools
| Tool | Description | Use Case |
|---|---|---|
scrape_reddit | Extract posts and comments from Reddit | Market research |
scrape_quora | Questions and answers from Quora | Content research |
monitor_brand_mentions | Track brand mentions across social platforms | PR monitoring |
AI-Powered Tools
| Tool | Description | Use Case |
|---|---|---|
score_and_prioritize | AI-powered lead scoring and prioritization | Sales efficiency |
generate_outreach | Create personalized email and LinkedIn messages | Outbound automation |
analyze_buying_signals | Detect purchase intent signals | Timing optimization |
predict_deal_probability | ML-based deal closure prediction | Pipeline management |
recommend_next_actions | AI suggestions for prospect engagement | Sales playbooks |
Pipeline Tools
| Tool | Description | Use Case |
|---|---|---|
full_company_research | Complete company intelligence package | Account research |
full_prospect_pipeline | End-to-end prospect research and outreach | Sales automation |
batch_process_leads | Process multiple leads through any tool | Bulk operations |
Quick Start
Option 1: Deploy to Vercel (Recommended for Make.com)
# Clone the repository
git clone https://github.com/localhowl/god-mode-intel-mcp-server.git
cd god-mode-intel-mcp-server
# Install dependencies
npm install
# Deploy to Vercel
vercel deploy
# Set your Apify token
vercel env add APIFY_TOKEN
Option 2: Run Locally
# Clone and install
git clone https://github.com/localhowl/god-mode-intel-mcp-server.git
cd god-mode-intel-mcp-server
npm install
npm run build
# Run HTTP server (for Make.com)
npm run start:http
# Or run stdio mode (for Claude Desktop)
npm run start:stdio
Option 3: Use via Apify
The GOD MODE INTEL backend is also available as an Apify Actor:
- Apify Store: apify.com/localhowl/god-mode-intel-mcp
Make.com Integration
Step 1: Deploy Your MCP Server
Deploy to Vercel or any hosting platform that supports Node.js. Your server URL will be something like:
https://god-mode-intel-mcp.vercel.app
Step 2: Configure Make.com MCP Module
- In Make.com, add the MCP module to your scenario
- Configure the MCP connection with your server URL
- Select the tool you want to use from the 48+ available tools
- Configure tool parameters and run your scenario
Step 3: Example Scenario - Lead Generation Pipeline
Trigger (Schedule/Webhook)
↓
GOD MODE INTEL: find_prospects
↓
Iterator (Process each lead)
↓
GOD MODE INTEL: enrich_lead
↓
GOD MODE INTEL: generate_outreach
↓
Gmail/HubSpot: Send personalized email
Claude Desktop Configuration
Add to your ~/.claude/claude_desktop_config.json:
{
"mcpServers": {
"god-mode-intel": {
"command": "node",
"args": ["/path/to/god-mode-intel-mcp-server/dist/index.js", "--stdio"],
"env": {
"APIFY_TOKEN": "your_apify_token"
}
}
}
}
API Endpoints
| Endpoint | Method | Description |
|---|---|---|
/ | GET | Server info and status |
/tools | GET | List all available tools with schemas |
/execute | POST | Execute a tool directly |
/sse | GET | Server-Sent Events endpoint for MCP protocol |
/health | GET | Health check endpoint |
Direct Tool Execution
curl -X POST https://your-server.vercel.app/execute \
-H "Content-Type: application/json" \
-d '{
"tool": "find_prospects",
"arguments": {
"query": "dentists",
"location": "Austin, TX",
"maxResults": 20
}
}'
Environment Variables
| Variable | Required | Description |
|---|---|---|
APIFY_TOKEN | No* | Your Apify API token for real data |
PORT | No | HTTP server port (default: 3000) |
*Without APIFY_TOKEN, the server runs in demo mode with sample data.
Architecture
┌─────────────────────────────────────────────────────────────┐
│ Make.com / Claude Desktop │
└─────────────────────────────────┬───────────────────────────┘
│
┌─────────────▼─────────────┐
│ MCP Protocol Layer │
│ (HTTP/SSE or Stdio) │
└─────────────┬─────────────┘
│
┌───────────────────▼───────────────────┐
│ GOD MODE INTEL MCP Server │
│ ┌─────────────────────────────┐ │
│ │ 48+ Intelligence Tools │ │
│ └─────────────┬───────────────┘ │
│ │ │
│ ┌─────────────▼───────────────┐ │
│ │ Tool Router & Executor │ │
│ └─────────────┬───────────────┘ │
└─────────────────┼─────────────────────┘
│
┌───────────▼───────────┐
│ Apify Actor Backend │
└───────────┬───────────┘
│
┌───────────────────────┼───────────────────────┐
│ │ │ │ │
┌────▼────┐ ┌────▼────┐ ┌────▼────┐ ┌────▼────┐ ┌────▼────┐
│ Google │ │LinkedIn │ │ G2 │ │Crunch- │ │ Apollo │
│ Maps │ │ │ │ Crowd │ │ base │ │ Hunter │
└─────────┘ └─────────┘ └─────────┘ └─────────┘ └─────────┘
Demo Mode
Run without an APIFY_TOKEN to test all tools with realistic sample data:
# Start in demo mode
npm start
# Test find_prospects
curl -X POST http://localhost:3000/execute \
-H "Content-Type: application/json" \
-d '{"tool": "find_prospects", "arguments": {"query": "dentists", "location": "Austin, TX"}}'
Demo mode returns realistic sample responses for all 48+ tools, perfect for:
- Testing Make.com scenarios before going live
- Developing integrations without API costs
- Demonstrating capabilities to stakeholders
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
identify_decision_makers - 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
Development
# Install dependencies
npm install
# Development mode with hot reload
npm run dev
# Build for production
npm run build
# Run tests
npm test
# Type checking
npx tsc --noEmit
Contributing
Contributions are welcome! Please read our Contributing Guide for details.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
MIT License - see LICENSE for details.
Links
- Make.com Challenge: make.com/en/mcp-community-challenge
- Apify Actor: apify.com/localhowl/god-mode-intel-mcp
- MCP Protocol: modelcontextprotocol.io
- LocalHowl: localhowl.com
Support
- Email: support@localhowl.com
- GitHub Issues: Report a bug
Built with love by LocalHowl for the Make.com MCP Community Challenge.