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fbadlibrarymcpserver

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Build a Model Context Protocol (MCP) server that provides access to Facebook's Ad Library through web scraping. The server should allow clients to search for advertisements with various filters and retrieve comprehensive ad data.

1 stars TypeScriptDeveloper Kits Updated Jun 8, 2025

Documentation

Facebook Ad Library MCP Server

A Model Context Protocol (MCP) server that provides access to Facebook's Ad Library through web scraping. This server exposes a single MCP tool for searching advertisements with comprehensive filtering options.

Features

  • MCP-compliant: Built using the official MCP SDK
  • Comprehensive ad data: Extracts advertiser, content, dates, impressions, spend, and more
  • Advanced filtering: Filter by company, date range, and keywords
  • Smart pagination: Auto-scrolling to retrieve up to 100 ads per search
  • Flexible sorting: Sort by date (ascending/descending) or relevance

Installation

1. Clone the repository:

bash
git clone 
cd FbAdLibraryMCPServer

2. Install dependencies:

bash
npm install

3. Install Playwright browsers:

bash
npx playwright install

Usage

Development

bash
npm run dev

Production

bash
npm run build
npm start

The server will start on port 3000 (configurable via `PORT` environment variable).

API Documentation

MCP Tool: `search_ads`

Search for Facebook ads with optional filters.

Parameters:

  • `company` (string, optional): Company/advertiser name to filter by
  • `start_date` (string, optional): Start date in YYYY-MM-DD format
  • `end_date` (string, optional): End date in YYYY-MM-DD format
  • `keywords` (array of strings, optional): Keywords to search in ad content
  • `limit` (integer, optional): Maximum ads to return (default: 50, max: 100)
  • `order` (string, optional): Sort order - "date_desc", "date_asc", or "relevance" (default: "date_desc")

Example Tool Call:

json
{
  "tool": "search_ads",
  "arguments": {
    "company": "Nike",
    "start_date": "2024-01-01",
    "end_date": "2024-01-31",
    "keywords": ["running", "shoes"],
    "limit": 10,
    "order": "date_desc"
  }
}

Response Format:

json
{
  "ads": [
    {
      "id": "unique_ad_identifier",
      "advertiser": "Company Name",
      "content": "Ad text content",
      "start_date": "Jan 15, 2024",
      "end_date": "Feb 15, 2024",
      "impressions": "1,000-5,000",
      "spend": "$100-$500",
      "platforms": ["Facebook"],
      "creative_url": "https://...",
      "demographics": {"targeting": "..."},
      "scraped_at": "2024-01-20T10:30:00Z"
    }
  ]
}

MCP Client Connection

Connect to the server using any MCP-compatible client:

HTTP Transport:

  • URL: `http://localhost:3000/mcp`
  • Method: POST
  • Headers: `Content-Type: application/json`

Health Check:

  • URL: `http://localhost:3000/healthz`
  • Method: GET

Architecture

  • MCP Server (`src/index.ts`): Express HTTP server hosting MCP protocol
  • Search Handler (`src/mcp/searchAdsHandler.ts`): Core business logic
  • Web Scraper (`src/scraper/scrapeFacebookAds.ts`): Playwright-based Facebook scraper
  • Filters (`src/utils/filters.ts`): Date parsing and filtering utilities

Performance Considerations

  • Rate Limiting: Built-in delays between requests to avoid blocking
  • Pagination: Auto-scrolling with intelligent stopping conditions
  • Browser Management: Proper cleanup of Playwright browser instances
  • Memory Efficiency: Streaming data processing where possible

Anti-Bot Detection Countermeasures

This server successfully bypasses Facebook's anti-bot detection through:

  • Virtual Display (Xvfb): Runs non-headless browsers in cloud environments
  • Natural Navigation: Mimics human browsing patterns (homepage → Ad Library)
  • Simplified Browser Config: Avoids complex "stealth" techniques that trigger detection
  • Smart Timeout Handling: 30-second browser launch timeout with fallback mechanisms
  • Production-Optimized: Different behavior in production vs development environments

Known Limitations

  • Runs in non-headless mode to avoid detection
  • Limited to 100 ads per search to prevent timeouts
  • Date formats depend on Facebook's display format
  • Subject to Facebook's anti-bot measures
  • Respects Facebook's rate limiting through built-in delays
  • Does not store personal user data
  • Intended for research and analysis purposes
  • Users should comply with Facebook's Terms of Service

Dependencies

  • `@modelcontextprotocol/sdk`: MCP protocol implementation
  • `playwright`: Web scraping automation
  • `date-fns`: Date parsing and manipulation
  • `express`: HTTP server framework
  • `zod`: Runtime type validation

Deployment (Fly.io)

1. Install flyctl:

bash
curl -L https://fly.io/install.sh | sh
export FLYCTL_INSTALL="/root/.fly"
export PATH="$FLYCTL_INSTALL/bin:$PATH"

2. Deploy to Fly.io:

bash
flyctl auth signup
flyctl launch --no-deploy
flyctl secrets set NODE_ENV=production
flyctl deploy

3. Live Deployment:

    Connection Details

    Public URL: `https://fbadlibrarymcpserver.fly.dev`

    Quick Test: `https://fbadlibrarymcpserver.fly.dev/test-search?company=Nike&limit=3`

    MCP Client Configuration:

    json
    {
      "transport": "http",
      "url": "https://fbadlibrarymcpserver.fly.dev/mcp",
      "method": "POST",
      "headers": {
        "Content-Type": "application/json",
        "Accept": "application/json, text/event-stream"
      }
    }

    Authentication: None required

    License

    ISC

    Frequently asked questions

    What is fbadlibrarymcpserver?

    fbadlibrarymcpserver is Build a Model Context Protocol (MCP) server that provides access to Facebook's Ad Library through web scraping. The server should allow clients to search for advertisements with various filters and retrieve comprehensive ad data.

    How do I install fbadlibrarymcpserver?

    Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

    Is fbadlibrarymcpserver open source?

    Yes — it is hosted on GitHub at https://github.com/StinCodes/FbAdLibraryMCPServer and has 1 stars.

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