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Arch Linux MCP Server

Server that bridges AI assistants with the Arch Linux ecosystem
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Arch Linux MCP Server

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PyPI Downloads
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Core Problem Solved:

The Arch User Repository (AUR) comprises user-submitted packages that are occasionally unverified. It relies on end users to perform manual safety checks before installation. Arch MCP addresses this issue by allowing users to express their intentions in natural language. The AI then analyzes this input to provide intelligent recommendations, empowering users to make well-informed decisions.

Protocol Implementation & Architecture

  • MCP Server Development: Built custom MCP server implementing the full protocol specification (resources, tools, prompts)
  • JSON-RPC 2.0 Transport: Bidirectional client-server communication with lifecycle management
  • Cross-Platform Compatibility: Works on both Arch and non-Arch systems
  • Multi-Transport Support: STDIO and HTTP transports for flexible deployment scenarios

Security-First Engineering

  • PKGBUILD Static Analysis Engine: 50+ security checks detecting malicious patterns (curl pipes, privilege escalation, data exfiltration)
  • Package Trust Scoring: Multi-factor risk assessment (maintainer reputation, vote count, last updated, out-of-date flags)
  • Sandboxed Execution: No direct package installation—AI provides analyzed data for informed user decisions
  • Safe-by-Design: Operations referencing only official Arch sources (wiki, repos, AUR API)

Key Features & Capabilities

  • Package Lifecycle: Search, install (with security checks), remove, update checking with dry-run validation
  • System Monitoring: Disk space analysis, failed services detection, boot logs, transaction history
  • Security Analysis: PKGBUILD scanning, package integrity verification, orphan detection
  • Mirror Management: Speed testing, health checks, fastest mirror suggestions by geolocation
  • Documentation Access: Arch Wiki search with relevance ranking, news monitoring for critical updates
Intelligent Workflows (Prompts):
  • Safe System Update: Multi-stage workflow (critical news check → disk space → update listing → service verification)
  • AUR Package Audit: Pre-installation security workflow (metadata analysis → PKGBUILD scan → risk report)
  • Dependency Analysis: Installation planning with repository checks and dependency mapping
  • Troubleshooting Assistant: Keyword extraction → Wiki search → contextual recommendations
Asynchronous Design
  • Non-blocking I/O for concurrent Wiki/AUR/Repo queries
  • Async HTTP client for parallel mirror speed testing
  • Stream-based log parsing for real-time system diagnostics
Docs:
PyPi Package:
Zed Extension: