# Facebook Ads Library

> Use this tool when you need to analyze competitors' Facebook ads or conduct marketing research, as it provides access to currently running advertisements with comprehensive media analysis capabilities. It solves problems related to competitive analysis, ad strategy insights, and marketing research by retrieving and analyzing image and video ads. It takes brand names and platform IDs as inputs and returns detailed ad analysis, making it ideal for use cases where understanding market trends and competitor advertising strategies is crucial.

Canonical page: https://skillsregistry.net/skills/talknerdytome-labs-facebook-ads-library  
JSON: https://api.skillsregistry.net/v1/skills/talknerdytome-labs-facebook-ads-library

## Description

Provides access to Meta's Facebook Ad Library through the ScrapeCreators API, enabling search for brands and retrieval of their currently running advertisements with comprehensive media analysis capabilities. The implementation supports both image and video ad analysis using Claude's vision capabilities and Google's Gemini AI for video understanding, with intelligent caching to avoid re-downloading media and reduce API costs. Built for competitive analysis, marketing research, and ad strategy insights, it handles batch processing of multiple brands and platform IDs while managing API credits and rate limits effectively.

## Trust

- **Trust score (0–1):** 0.71
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/talknerdytome-labs-facebook-ads-library)
- **Repository:** <https://github.com/proxy-intell/facebook-ads-library-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "talknerdytome-labs-facebook-ads-library"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/talknerdytome-labs-facebook-ads-library` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/talknerdytome-labs-facebook-ads-library/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt