by talknerdytome-labs · MCP Server · ★ 189
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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 analyze ad images/text, analyze video ads with comprehensive insights, 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. https://github.com/user-attachments/assets/a47aa689-e89d-4d4b-9df7-6eb3a81937ee Hosted Version Don't want to manage API keys or run anything yourself? Proxy offers a fully hosted version of this MCP — no setup, no infrastructure, no separate ads data subscription. Works out of the box in ChatGPT, Claude, Manus, and anywhere else that supports MCP Nothing to install or configure — just connect and start querying Start for free here If you'd rather self-host, the full setup instructions are below. Example Prompts Single Brand Analysis plaintext Analyze the
| Stars | 189 |
| Forks | 25 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 47.2/100 |
| Open Issues | 1 |
| Last Updated | 2026-01-07 |
| Created | 2025-06-05 |
| Platforms | mcp, python |
| Est. Tokens | ~4k |
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facebook-ads-library-mcp is MCP Server for Facebook ADs Library - Get instant answers from FB's ad library. It is categorized as a MCP Server with 189 GitHub stars.
facebook-ads-library-mcp is primarily written in Python. It covers topics such as ai, analytics, api.
You can find installation instructions and usage details in the facebook-ads-library-mcp GitHub repository at github.com/talknerdytome-labs/facebook-ads-library-mcp. The project has 189 stars and 25 forks, indicating an active community.
facebook-ads-library-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to facebook-ads-library-mcp on Agent Skills Hub include facebook-ads-library-mcp, instagram_dm_mcp, penpot-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.