google_ads_mcp — repository deleted, archived audit

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by google-marketing-solutions · MCP Server · ★ 226

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ai-agentsgeminigooglegoogle-adsgoogle-ads-apimcpmcp-server

Quick Facts

Stars226
Forks68
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score74/100
Open Issues7
Last Updated2026-06-15
Created2025-08-08
Platformsgemini, mcp, python
Est. Tokens~13k

About google_ads_mcp

Google Ads MCP Server The Google Ads MCP Server is an implementation of the Model Context Protocol (MCP) that enables Large Language Models (LLMs), such as Gemini, to interact directly with the Google Ads API. This is not an officially supported Google product. Disclaimer Copyright Google LLC. Supported by Google LLC and/or its affiliate(s).

Compatible Skills

These tools work well together with google_ads_mcp for enhanced workflows:

  • claude-ads — semantic(0.44)+complementary+rare_topics+same_lang+similar_pop+shared_platform (70%)
  • gemini-ai-toolkit — semantic(0.23)+complementary+rare_topics+same_lang+similar_pop+shared_platform (58%)
  • gemini-for-claude-code — semantic(0.20)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • adloop — semantic(0.61)+rare_topics+same_lang+similar_pop+shared_platform (56%)

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Looking for a google_ads_mcp alternative? If you're comparing google_ads_mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

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  • mcp-google-sheets by xing5 · ⭐ 1.0k

    This MCP server integrates with your Google Drive and Google Sheets, to enable creating and modifying spreadsh

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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