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MCP Linux Common Utility Server

@guolisen

リポジトリ

基本情報

カテゴリ

その他

ライセンス

MIT

トランスポート

stdio

作者

guolisen

MCP Linux Common Utility Server について

概要はまだありません

MCP Linux Common Utility Server の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

MCP Linux Common Utility Server のツール

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この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP Linux Common Utility Server?

The Model Context Protocol (MCP) Linux Common Utility (LCU) Server is a Python‑based server that exposes a wide range of Linux system operations — including CPU, memory, processes, filesystem, hardware, network, monitoring, and logs — as MCP tools and resources. It is built for developers and system administrators who want to interact with a Linux host programmatically through any MCP client.

How to use MCP Linux Common Utility Server?

Install the package from source (requires Python 3.10+ and a Linux OS). Start the server with the mcp-lcu-server command, choosing the transport type (stdio, sse, or both) and optionally a custom port/host. Behaviour such as allowed paths, process kill permissions, and monitoring intervals are set via a YAML configuration file (default locations: ./config.yaml, ./config/config.yaml, /etc/mcp-lcu-server/config.yaml, ~/.config/mcp-lcu-server/config.yaml).

Key features of MCP Linux Common Utility Server

  • CPU, memory, and swap monitoring tools
  • Process listing, search, and analysis
  • Filesystem CRUD and search operations
  • Network connectivity, stats, and file transfers
  • System monitoring, health checks, and uptime
  • Log access from journal, syslog, dmesg, and services

Use cases of MCP Linux Common Utility Server

  • Analyze CPU and memory performance on a remote Linux server
  • List processes and get top CPU/memory consumers
  • Read, write, or delete files on the filesystem via an AI agent
  • Monitor system health and resource usage over time
  • Diagnose network issues with ping, traceroute, and interface stats

よくある質問

1

What dependencies or runtime are required?

Python 3.10 or higher and a Linux operating system.

2

What transports are supported?

The server supports stdio, SSE (Server‑Sent Events), or both simultaneously.

3

Can I restrict filesystem or network access?

Yes. In the YAML config you can set `allowed_paths`, `max_file_size`, `allowed_domains`, and disable uploads/downloads.

4

Is process killing allowed by default?

No. The `process.allow_kill` option is `false` by default; it must be explicitly enabled in the configuration.

5

How do I disable the command execution feature?

Set `command.enabled: false` in your configuration file. You can also restrict allowed/blocked commands and disable sudo access separately.

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