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 logly · MCP Server · ★ 50
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mureo safe to install? View the security audit →
Website · 日本語 mureo — your local-first AI ad ops crew. Find waste, audit changes, run ad accounts safely. Local-first. Strategy-grounded. Safety-gated. Works with Claude Code, Cursor, Codex & Gemini. mureo sits on top of the official ad-platform MCPs and gives your AI a strategy to follow, an outcome to be measured against, and an audit trail you can show to anyone — credentials never leave your machine. </p
| Stars | 50 |
| Forks | 6 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64.9642903747076/100 |
| Open Issues | 4 |
| Last Updated | 2026-10-13 |
| Created | 2026-03-30 |
| Platforms | claude-code, cli, codex, gemini, mcp, python |
| Est. Tokens | ~25k |
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mureo is Your local-first AI ad ops crew. Works with Claude Code, Cursor, Codex & Gemini.. It is categorized as a MCP Server with 50 GitHub stars.
mureo is primarily written in Python. It covers topics such as advertising, agentic-ai, ai-agents.
You can find installation instructions and usage details in the mureo GitHub repository at github.com/logly/mureo. The project has 50 stars and 6 forks, indicating an active community.
mureo is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to mureo on Agent Skills Hub include agent-skills, marketing-skills, ads-mcp. 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: