Pornhub Server

An MCP (Model Context Protocol) server that provides real-time and historical statistics about the adult entertainment industry using Google Trends API only.

Features

This MCP server provides 100% API-based tools (no cached data):

🔍 Google Trends API Tools (2004-Present)

1. search_trends - Analyze any keywords with full statistics

   • Interest over time with trends
   • Regional breakdown
   • Related & rising queries

2. compare_performers - Compare search interest between performers

   • Side-by-side comparison
   • Growth trends
   • Regional popularity

3. compare_platforms - Compare platform popularity

   • Pornhub vs OnlyFans vs xVideos, etc.
   • Market share trends
   • Regional preferences

4. analyze_category_trends - Analyze content category trends

   • MILF, Teen, Amateur, Hentai, etc.
   • Trend direction (growing/declining)
   • Regional variations

5. historical_analysis - Multi-year analysis (2004+)

   • Long-term trends
   • Peak periods
   • Growth patterns

6. trending_searches - Find related & rising searches

   • What else people search for
   • Breakout terms
   • Related performers/categories

Data Source

✅ Google Trends API (pytrends)

100% Real-time API - No Cached Data

• Coverage: 2004 to present
• Geographic: Worldwide + country-specific + US state-level
• Data Points: Search interest (0-100 scale), regional breakdown, related queries, trending terms
• Rate Limiting: Built-in delays to respect API limits
• Caching: 1-hour cache to avoid redundant API calls
• Free: No API key required

What You Can Query

• Any performer name (from 2004+)
• Any platform (pornhub, onlyfans, xvideos, etc.)
• Any category (milf, teen, amateur, hentai, etc.)
• Any search term
• Compare up to 5 terms at once
• Custom date ranges
• Regional analysis (US states, countries, worldwide)

Installation

Prerequisites

• Python 3.10 or higher
• uv package manager (recommended) or pip

Setup

1. Install uv (if not already installed):

curl -LsSf https://astral.sh/uv/install.sh | sh

2. Create virtual environment and install dependencies:

uv venv
source .venv/bin/activate  # On Windows: .venv\Scripts\activate
uv pip install -e .

Running the Server

Standalone Testing

Run the server directly:

uv run server.py

Configure with Claude Desktop

1. Edit your Claude Desktop config file:

   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json

2. Add the server configuration (choose one method):

Method A: Using the virtual environment directly (Recommended)

{
  "mcpServers": {
    "pornhub-mcp": {
      "command": "/Users/talhelfgott/Desktop/api/.venv/bin/python",
      "args": [
        "/Users/talhelfgott/Desktop/api/server.py"
      ]
    }
  }
}

Method B: Using uv (if you prefer)

{
  "mcpServers": {
    "pornhub-mcp": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/Users/talhelfgott/Desktop/api",
        "--no-project",
        "python",
        "server.py"
      ]
    }
  }
}

3. Restart Claude Desktop

Example Queries

Once connected to Claude Desktop, you can ask:

🔍 Performer Analysis

• "Compare search trends for Lana Rhoades vs Riley Reid from 2020-2024"
• "Show me Google Trends for Abella Danger over the past 5 years"
• "Which performer has more search interest: [name A] or [name B]?"
• "Analyze historical trends for [any performer] from 2020 to 2024"
• "What states search for [performer name] the most?"

📊 Platform Comparison

• "Compare Pornhub vs OnlyFans vs xVideos search trends"
• "Is OnlyFans growing or declining in popularity?"
• "Show me the trend for Pornhub over the past 5 years"
• "Which platform is most popular in California?"

📈 Category Trends

• "Compare milf vs teen vs amateur category searches"
• "Is hentai search interest growing or declining?"
• "Show me trends for ethical porn searches"
• "What are the trending adult categories right now?"

🌎 Regional Analysis

• "Which US states have the highest search interest for OnlyFans?"
• "Show me UK vs US search interest for [any term]"
• "What are people searching for related to Pornhub?"

📅 Historical Queries

• "Show me 2020-2024 trends for [any performer]"
• "Compare 2020 vs 2024 for [platform or category]"
• "What was the peak year for [any search term]?"
• "Analyze the past 5 years of [anything]"

Project Structure

api/
├── server.py           # Main MCP server implementation
├── pyproject.toml      # Project dependencies
└── README.md          # This file

Data Updates

The current implementation uses cached/sample data. To add real-time data:

1. AdultDataLink API: Sign up at https://adultdatalink.com/ and add API integration
2. Web Scraping: Implement scrapers for public statistics sites
3. Platform APIs: Integrate official APIs where available

Privacy & Ethics

This server is designed for:

• Market research and analysis
• Industry statistics and trends
• Educational purposes

All data is aggregated statistics from public sources. No personal data or explicit content is accessed or stored.

License

MIT License - See LICENSE file for details

Contributing

Contributions welcome! Please ensure:

• Data sources are legitimate and ethical
• No explicit content or personal data
• Focus on industry statistics and analytics