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 nihalxkumar · MCP Server · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is arch-mcp safe to install? View the security audit →
Arch Linux MCP Server Disclaimer: Unofficial community project, not affiliated with Arch Linux. A Model Context Protocol (MCP) server that bridges AI assistants with the Arch Linux ecosystem. Enables intelligent, safe, and efficient access to the Arch Wiki, AUR, and official repositories for AI-assisted Arch Linux usage on Arch and non-Arch systems. Leverage AI to get digestible, structured results that are ready for follow up questions and actions. 📖 Complete Documentation with Comfy Guides Sneak Peak into what's available Using VS Code Sonnet 3.5 for Safe Installation from AUR Asking Claude Code Sonnet 4.5 for fedora equivalent command Resources (URI-based Access) Direct access to Arch ecosystem data via custom URI schemes: Documentation & Search Retu
| Stars | 53 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | GPL-3.0 |
| Quality Score | 66.2123584690827/100 |
| Open Issues | 5 |
| Last Updated | 2026-03-10 |
| Created | 2025-10-23 |
| Platforms | mcp, python |
| Est. Tokens | ~4824k |
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arch-mcp is Arch Linux MCP (Model Context Protocol). It is categorized as a MCP Server with 53 GitHub stars.
arch-mcp is primarily written in Python. It covers topics such as arch-linux, archlinux, aur.
You can find installation instructions and usage details in the arch-mcp GitHub repository at github.com/nihalxkumar/arch-mcp. The project has 53 stars and 14 forks, indicating an active community.
arch-mcp is released under the GPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to arch-mcp on Agent Skills Hub include magg, tuisic, ghost-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: