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MCP Server for Facebook ADs Library - Get instant answers from FB's ad library

trypeggy.ai/

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Facebook Ads Library MCP Server

This is a Model Context Protocol (MCP) server for the Facebook Ads Library.

With this you can search Facebook's public ads library for any company or brand, see what they're currently running and analyze their advertising. You can analyse ad images/text, get video links, compare companies' strategies, and get insights into what's working in their campaigns.

Here's an example of what you can do when it's connected to Claude.

MCP.demo.mp4

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Example Prompts

How many ads is 'AnthropicAI' running? What’s their split across video and image?

What messaging is 'AnthropicAI' running right now in their ads?

Do a deep comparison to the messaging between 'AnthropicAI', 'Perplexity AI' and 'OpenAI'. Give it a nice forwardable summary.

Don't want to deal with code? Try our no-code version

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Installation

Installing via Smithery

To install Facebook Ads Library for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @trypeggy/facebook-ads-library-mcp --client claude

Prerequisites

• Python 3.12+
• Anthropic Claude Desktop app (or Cursor)
• Pip (Python package manager), install with python -m pip install
• An access token for Scrape Creators

Steps

1. Clone this repository
   git clone https://github.com/trypeggy/facebook-ads-library-mcp.git
   cd facebook-ads-library-mcp
2. Obtain an API token from Scrape Creators
   Sign up here
3. Connect to the MCP server
   Copy the below json with the appropriate {{PATH}} values and {{API KEY}}:
   {
   "mcpServers": {
   "fb_ad_library": {
   "command": "python",
   "args": [
   "{{PATH_TO_SRC}}/fb_ad_library_mcp/src/mcp_server.py",
   "--scrapecreators-api-key",
   "{{YOUR_SCRAPECREATORS_API_KEY}}"
   ]
   }
   }
   }
   For Claude Desktop:
   Save this as claude_desktop_config.json in your Claude Desktop configuration directory at:

~/Library/Application Support/Claude/claude_desktop_config.json  

For Cursor:
Save this as mcp.json in your Cursor configuration directory at:

~/.cursor/mcp.json  

4. Restart Claude Desktop / Cursor
   Open Claude Desktop and you should now see the Facebook Ads Library as an available integration.
   Or restart Cursor.

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Technical Details

1. Claude sends requests to the Python MCP server
2. The MCP server queries the ScrapeCreator API through tools
3. Data flows back through the chain to Claude

Available MCP Tools

This MCP server provides tools for interacting with Facebook Ads library objects:

Tool Name	Description
get_meta_platform_id	Returns platform ID given one or many brand names
get_meta_ads	Retrieves ads for a specific page (platform ID)

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Troubleshooting

For additional Claude Desktop integration troubleshooting, see the MCP documentation. The documentation includes helpful tips for checking logs and resolving common issues.

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Feedback

Your feedback will be massively appreciated. Please tell us which features on that list you like to see next or request entirely new ones.

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License

This project is licensed under the MIT License.

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github python api open-source marketing facebook ai analytics marketing-automation mcp python3 facebook-api marketing-analytics llm mcp-server

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