mcp-google-ads: An MCP tool that connects Google Ads with Claude AI/Cursor and others, allowing you to analyze

by cohnen · MCP Server · ★ 710

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install mcp-google-ads

git clone https://github.com/ixigo/mcp-google-ads.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 75/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

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Quick Facts

Stars710
Forks159
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score75/100
Open Issues17
Last Updated2025-10-16
Created2025-03-20
Platformsclaude-code, mcp, python
Est. Tokens~11k

About mcp-google-ads

Google Ads MCP A tool that connects Google Ads with Claude AI, allowing you to analyze your advertising data through natural language conversations. This integration gives you access to campaign information, performance metrics, keyword analytics, and ad management—all through simple chat with Claude.

Compatible Skills

These tools work well together with mcp-google-ads for enhanced workflows:

  • claude-ads — semantic(0.36)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • openchatbi — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)
  • google-analytics-mcp — semantic(0.45)+same_lang+similar_pop+shared_platform (46%)

mcp-google-ads alternative? Top 6 similar tools

Looking for a mcp-google-ads alternative? If you're comparing mcp-google-ads 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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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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