GOD MODE INTEL

GOD MODE INTEL MCP Server provides a practical, plug‑and‑play way to access 48+ AI-powered B2B intelligence tools through the Model Context Protocol. You can run it locally or deploy it to a hosting platform, connect from Make.com or Claude Desktop, and build automated workflows for lead generation, company research, competitive intelligence, and sales automation.

How to use

You connect an MCP client (such as Make.com or Claude Desktop) to the server using either HTTP for Make.com or Stdio for Claude Desktop. Once connected, you can pick any of the 48+ tools to perform targeted actions like finding prospects, enriching leads, researching companies, tracking competitors, or generating outreach content. Build end‑to‑end workflows by orchestrating tool calls, iterating over results, and feeding outcomes into your CRM, marketing apps, or analytics dashboards. Use demo mode to test tools without incurring data costs, then switch to live mode by providing your Apify token when you are ready to fetch real data.

A typical usage flow looks like this: connect your MCP client, choose a discovery tool to locate prospects, enrich leads in batch, and then generate personalized outreach. You can also layer in AI‑powered scoring and suggested next actions to prioritize engagement.

How to install

Prerequisites: you need Node.js installed on your machine or hosting environment. You also may use the server in a serverless environment if you prefer to deploy to a platform that supports Node.js.

1. Clone the project repository.

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

2. Install dependencies.

npm install

3. Build the project for production.

npm run build

4. Run in HTTP mode for Make.com.

npm run start:http

5. Run in Stdio mode for Claude Desktop.

npm run start:stdio

Configuration and endpoints

The MCP server exposes HTTP endpoints for Make.com and a Stdio interface for Claude Desktop. Use these endpoints to connect your MCP client and start executing tools.

GET /        -> Server info
GET /tools   -> List all available tools with schemas
POST /execute -> Execute a tool directly
GET /sse     -> Server‑Sent Events endpoint for MCP protocol
GET /health  -> Health check

Security and environment

Use environment variables to configure tokens and access. In demo mode you can run without an API token; in production, provide your Apify token to fetch real data.

Environment variable example to enable real data mode.

Troubleshooting tips

If you cannot connect from your MCP client, verify the server URL or Stdio path, confirm the server is running, and check network access. Review logs for startup messages and ensure your environment variable APIFY_TOKEN is set if you intend to fetch live data.

Example use case workflow

Lead generation pipeline: discover prospects → enrich leads → generate outreach → send outreach via email or CRM integration.

Available tools

find_prospects

Find B2B prospects using Google Maps, LinkedIn, and business databases to support lead generation campaigns

find_lookalikes

Discover companies similar to your best customers for account-based marketing

discover_companies

Search for companies by industry, size, location, and technology for market research

identify_decision_makers

Find C-suite executives and key decision makers at target companies for targeted outreach

build_target_list

Create filtered, prioritized prospect lists with scoring for outbound campaigns

enrich_lead

Add email, phone, social profiles, and company data to a single lead for CRM enrichment

enrich_leads_batch

Bulk enrichment for up to 100 leads at once to keep your database clean

enrich_company_contacts

Find all contacts at a specific company for account mapping

scrape_linkedin_profile

Extract profile data, experience, skills, and connections for sales research

analyze_linkedin_voice

Analyze a profile's content style and engagement patterns for personalized outreach

monitor_linkedin_activity

Track profile updates, posts, and job changes to trigger actions

research_company

Comprehensive company research including financials and technology for due diligence

scan_tech_stack

Identify technologies used by a company’s website for competitive analysis

get_crunchbase_data

Funding rounds, investors, acquisitions, and key people for investment research

analyze_website

Deep analysis of company website structure and content for market intelligence

extract_job_postings

Current job openings indicating growth and priorities for buying signals

get_funding_news

Recent funding announcements and press releases to trigger events

scrape_trustpilot

Customer reviews and ratings from Trustpilot for reputation analysis

scrape_yelp

Business reviews and ratings from Yelp for local reputation

scrape_g2_reviews

B2B software reviews from G2 for competitive intel

aggregate_reviews

Combine reviews from multiple platforms for sentiment analysis

monitor_competitors

Track competitor websites, pricing, and product changes for market monitoring

scrape_facebook_ads

Analyze competitor Facebook/Meta advertising for ad intelligence

competitive_gap_analysis

Compare features, pricing, and positioning for strategy planning

track_pricing_changes

Monitor competitor pricing updates for pricing strategy

analyze_market_positioning

Understand competitor market positioning for brand strategy

scrape_gbp

Google Business Profile data extraction for local SEO

track_local_serp

Monitor local search rankings for rank tracking

audit_citations

Check NAP consistency across directories for citation management

local_competitor_analysis

Analyze local market competition for local strategy

scrape_reddit

Extract posts and comments from Reddit for market research

scrape_quora

Questions and answers from Quora for content research

monitor_brand_mentions

Track brand mentions across social platforms for PR monitoring

score_and_prioritize

AI-powered lead scoring and prioritization for sales efficiency

generate_outreach

Create personalized email and LinkedIn messages for outbound automation

analyze_buying_signals

Detect purchase intent signals for timing optimization

predict_deal_probability

ML-based deal closure prediction for pipeline management

recommend_next_actions

AI suggestions for prospect engagement and sales playbooks

full_company_research

Complete company intelligence package for account research

full_prospect_pipeline

End-to-end prospect research and outreach for sales automation

batch_process_leads

Process multiple leads through any tool for bulk operations