MCP-NixOS is a Model Context Protocol (MCP) server designed to provide real-time, accurate data about NixOS packages, system options, and related resources. Its primary aim is to supply AI assistants and compatible clients with up-to-the-second information, reducing errors such as hallucinated package or option names when interacting with NixOS environments. org and FlakeHub.
org. dev. The tool exposes two main MCP tools to clients: a unified query interface for searching, browsing, and retrieving information across these sources, and a version history tool for package tracking.
MCP-NixOS is designed for use with AI assistants, developer tools, and any client that supports the Model Context Protocol, including platforms such as Claude and Cursor. It can be run locally over STDIO or hosted as a remote MCP server over HTTP, and is compatible with Windows, macOS, and Linux operating systems. This flexibility allows users to integrate NixOS knowledge into a variety of workflows without requiring a local Nix installation.
Responses from MCP-NixOS are provided in plain text, optimizing them for consumption by large language models and avoiding the need to parse complex formats like XML. The tool is open source, released under the MIT License, and is developed by Utensils and contributors. Its architecture and data sources make it a specialized infrastructure tool for enhancing the accuracy and utility of AI-driven interactions with the NixOS ecosystem.
MCP-NixOS is a Frameworks & runtimes project. It focuses on providing AI assistants and developers with accurate, real-time NixOS package and configuration data via the Model Context Protocol. MCP-NixOS is an open-source project aimed at nixOS users and AI developers. The project is open source (MIT). It runs on the web and API, and it can be self-hosted.
It is developed by MCP-NixOS Maintainers, and it first shipped in 2025. The project is developed in the open on GitHub with 676 stars and 21 commits in the last 90 days. Among its 5 catalogued features are nixOS package search, option inspection, and Home Manager support. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
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