No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by kLOsk · MCP Server · ★ 276
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is adloop safe to install? View the security audit →
AdLoop Stop switching between Google Ads, GA4, and your code editor to figure out why conversions dropped. An MCP server that gives your AI assistant read + write access to Google Ads and GA4 — with safety guardrails that prevent accidental spend. What It Solves AdLoop exists because managing Google Ads alongside your code is a mess. These are the specific problems it handles: "My conversions dropped and I don't know why." AdLoop cross-references Ads clicks, GA4 sessions, and conversion events in one query. It detects whether the gap is fro
| Stars | 276 |
| Forks | 63 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.3534922441306/100 |
| Open Issues | 22 |
| Last Updated | 2026-10-03 |
| Created | 2026-03-06 |
| Platforms | mcp, python |
| Est. Tokens | ~18k |
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adloop is The AI command center for Google Ads, Analytics and Search Console.. It is categorized as a MCP Server with 276 GitHub stars.
adloop is primarily written in Python. It covers topics such as ai, cursor, ga4.
You can find installation instructions and usage details in the adloop GitHub repository at github.com/kLOsk/adloop. The project has 276 stars and 63 forks, indicating an active community.
adloop is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to adloop on Agent Skills Hub include google-analytics-mcp, youtube-connector-mcp, atlassian-mcp-server. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: