mcp-nixos: Model Context Protocol Server for NixOS resources

by utensils · MCP Server · ★ 864

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How to install mcp-nixos

uvx mcp-nixos
pip install mcp-nixos

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

Security audit verdict: SAFE · quality 72/100

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.

ai-assistantai-integrationai-toolsanthropicclaudedeveloper-toolsdevops-toolsfastmcpllm-toolsmcp

Quick Facts

Stars864
Forks46
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score72/100
Open Issues1
Last Updated2026-10-26
Created2025-03-20
Platformsclaude-code, mcp, python
Est. Tokens~16k

About mcp-nixos

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)

Compatible Skills

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

  • antigravity-nix — semantic(0.42)+complementary+rare_topics+similar_pop (58%)
  • nix-config — semantic(0.47)+complementary+rare_topics+similar_pop+shared_platform (56%)
  • rigup.nix — semantic(0.42)+complementary+rare_topics+similar_pop+shared_platform (54%)
  • os-moda — semantic(0.38)+complementary+rare_topics+similar_pop (52%)
  • codex-cli-nix — semantic(0.38)+complementary+rare_topics+similar_pop (52%)

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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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