# Google Ads Library MCP Server

> Google Ads Library MCP Server — feno-rsmd-google-ads-library-mcp. Use this tool when you need to analyze and compare advertising strategies, inspect ad details, and gain insights into competitor ads. It enables users to search the Google Ads Transparency Center, providing access to company ad data, ad variations, and multimedia content. Ideal for market research, competitive analysis, and advertising optimization, this tool offers a comprehensive interface for inputs such as company names and ad identifiers, and outputs detailed ad performance and competitor strategy reports.

Canonical page: https://skillsregistry.net/skills/feno-rsmd-google-ads-library-mcp  
JSON: https://api.skillsregistry.net/v1/skills/feno-rsmd-google-ads-library-mcp

## Description

Enables users to search the Google Ads Transparency Center for company ads, inspect ad details and variations, analyze images and videos, and compare competitor advertising strategies.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xgjfkwedpy)
- **Repository:** <https://github.com/feno-rsmd/google_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": "feno-rsmd-google-ads-library-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/feno-rsmd-google-ads-library-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/feno-rsmd-google-ads-library-mcp/pull`

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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