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 utensils · MCP Server · ★ 823
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-nixos safe to install? View the security audit →
MCP-NixOS - Because Your AI Shouldn't Hallucinate Package Names Quick Start 🚨 No Nix/NixOS Required! Works on any system - Windows, macOS, Linux. You're just querying APIs. Option 1: uvx (Recommended)
| Stars | 823 |
| Forks | 45 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 72.2704922380716/100 |
| Last Updated | 2026-09-05 |
| Created | 2025-03-20 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~16k |
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mcp-nixos is MCP-NixOS - Model Context Protocol Server for NixOS resources. It is categorized as a MCP Server with 823 GitHub stars.
mcp-nixos is primarily written in Python. It covers topics such as ai-assistant, ai-integration, ai-tools.
You can find installation instructions and usage details in the mcp-nixos GitHub repository at github.com/utensils/mcp-nixos. The project has 823 stars and 45 forks, indicating an active community.
mcp-nixos is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-nixos on Agent Skills Hub include stealth-browser-mcp, maverick-mcp, Gopeak-godot-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: