How do I use Web Intelligence MCP Server?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@Web Intelligence MCP Server find software development agencies in London" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

Web Intelligence MCP Server

Real-time web intelligence for AI agents. Monetized on Apify.

Apify Actor MCP

What This Does

A production-ready MCP server that gives AI agents real-time web capabilities:

Tool	What It Does	Price
`search_web`	Live Google/Bing search results	$0.02/call
`scrape_page`	Clean markdown from any URL	$0.05/call
`find_leads`	Google Maps business data	$0.10/call
`get_company_info`	Tech stack, employees, contacts	$0.15/call

Why Agents Need This:

Claude/GPT have knowledge cutoffs
Agents need current prices, news, company info
Every serious agent workflow needs real-time data

Quick Start

For AI Agents (Claude, Cursor, etc.)

Add to your MCP config:

{
  "mcpServers": {
    "web-intelligence": {
      "url": "https://your-username--web-intelligence-mcp.apify.actor/sse"
    }
  }
}

For Developers (Publish Your Own)

# 1. Clone and setup
git clone <your-repo>
cd web-intelligence-mcp
npm install

# 2. Configure API keys
cp .env.example .env
# Edit .env with your keys

# 3. Test locally
npm run build
apify run

# 4. Deploy to Apify
apify login
apify push

API Keys Required

Service	Purpose	Get Key At
SerpAPI	Web search	serpapi.com
Jina AI	Web scraping	jina.ai/reader
Google Places	Lead generation	Google Cloud
Clearbit	Company data	clearbit.com

Free tiers available for all!

Tool Examples

search_web

{
  "query": "AI agent startups funding 2024",
  "num_results": 10
}

scrape_page

{
  "url": "https://example.com/article"
}

find_leads

{
  "keyword": "software companies",
  "location": "San Francisco, CA",
  "max_results": 20
}

get_company_info

{
  "domain": "stripe.com"
}

Monetization

This Actor uses Apify Pay-Per-Event:

Event	Price	When Charged
`search-web`	$0.02	Every search_web call
`scrape-page`	$0.05	Every scrape_page call
`find-leads`	$0.10	Every find_leads call
`company-info`	$0.15	Every get_company_info call

Your earnings: 80% of revenue (Apify takes 20% commission)

Deployment

Option 1: Apify Console (Easiest)

Go to Apify Console
Create new Actor from GitHub repo
Set environment variables
Enable "Standby mode" in settings
Set pricing in "Monetization" tab

Option 2: CLI

# Install Apify CLI
npm install -g apify-cli

# Login
apify login

# Push to Apify
apify push

# Set secrets
apify secrets:set SERPAPI_KEY your_key_here
apify secrets:set JINA_AI_KEY your_key_here
# ... etc

Standby Mode

Standby mode gives you a persistent URL that MCP clients can connect to:

https://your-username--web-intelligence-mcp.apify.actor/sse

This URL stays active even when the Actor isn't running. Apify automatically starts it when a request comes in.

Configuration

Environment Variables

Create .env file:

# Required
SERPAPI_KEY=your_serpapi_key
JINA_AI_KEY=your_jina_key
GOOGLE_PLACES_API_KEY=your_google_key
CLEARBIT_API_KEY=your_clearbit_key

# Optional
APIFY_LOG_LEVEL=INFO

Pricing Configuration

Edit .actor/pay_per_event.json to adjust prices:

[
  {
    "search-web": {
      "eventTitle": "Web Search",
      "eventDescription": "Live Google/Bing search results",
      "eventPriceUsd": 0.02
    }
  }
]

Architecture

┌─────────────────────────────────────────────────────────┐
│                    Apify Platform                        │
│  ┌─────────────────────────────────────────────────┐   │
│  │         Web Intelligence MCP Server              │   │
│  │  ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌────────┐ │   │
│  │  │ Search  │ │ Scrape  │ │  Leads  │ │Company │ │   │
│  │  │  $0.02  │ │  $0.05  │ │  $0.10  │ │ $0.15  │ │   │
│  │  └────┬────┘ └────┬────┘ └────┬────┘ └───┬────┘ │   │
│  │       └─────────────┴───────────┴────────┘      │   │
│  │                      │                          │   │
│  │              Actor.charge()                     │   │
│  │                      │                          │   │
│  │              MCP Server (SSE)                   │   │
│  └──────────────────────┼──────────────────────────┘   │
│                         │                               │
│              https://...apify.actor/sse                 │
└─────────────────────────────────────────────────────────┘

Local Development

# Install dependencies
npm install

# Build
npm run build

# Run with stdio (for testing)
MCP_TRANSPORT=stdio npm start

# Run with SSE (for local HTTP)
npm start
# Server runs on http://localhost:3000/sse

Testing

Test with the MCP inspector:

npx @modelcontextprotocol/inspector node dist/main.js

Why This Wins

Supply: Near-zero MCP servers on Apify right now
Demand: Every AI framework adopting MCP (Claude, GPT, Cursor)
Agentic Payments: Apify handles billing, agents pay autonomously
Moat: First quality servers get whitelisted in agent configs
Recurring: Agents run 24/7, every query = billable event

Revenue Potential

Daily Calls	Monthly Revenue	Your Cut (80%)
100	$500	$400
1,000	$5,000	$4,000
10,000	$50,000	$40,000

Costs: API keys have free tiers, then ~$0.01-0.05 per call

Support

License

MIT - Build your own, publish, profit.

The USB-C moment for AI agents. Deploy today.

Web Intelligence MCP Server

Web Intelligence MCP Server

What This Does

Quick Start

For AI Agents (Claude, Cursor, etc.)

For Developers (Publish Your Own)

API Keys Required

Tool Examples

search_web

scrape_page

find_leads

get_company_info

Monetization

Deployment

Option 1: Apify Console (Easiest)

Option 2: CLI

Standby Mode

Configuration

Environment Variables

Pricing Configuration

Architecture

Local Development

Testing

Why This Wins

Revenue Potential

Support

License

Resources

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