原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Servonaut

作者:zb-ss版本 2.32.0i★ –i在你的电脑上运行
注册名称dev.servonaut/servonaut

安装

概览

作者提供的说明(英文原文)

Manage AWS, Hetzner, OVH and SSH servers: status, logs, CloudWatch, IP bans, safe command exec.

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "servonaut": {
      "command": "uvx",
      "args": [
        "servonaut",
        "--mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add servonaut -- uvx servonaut --mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "servonaut": {
      "command": "uvx",
      "args": [
        "servonaut",
        "--mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "servonaut": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "servonaut",
        "--mcp"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 servonaut.dev 验证(注册中心会核实域名所有权)

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 1395 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 1395 个服务器的 96% 更新
  • 基础检查结果等于或优于此分类中其他 1395 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

Servonaut 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(2.32.0)于昨天进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Python (uv)。

有什么可以替代它?

同一分类中有:GitHub, Desktop Commander, Cloudflare MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

GitHub

作者:github

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

电脑或云端★ 34,245MIT4天前更新
安装

Desktop Commander

作者:wonderwhy-er

MCP server for terminal commands, file operations, and process management

在你的电脑上运行★ 10,225MIT16天前更新
安装

Cloudflare MCP

作者:cloudflare

Cloudflare MCP servers

在云端运行★ 4,446Apache-2.014个月前更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

Servonaut

Your servers. Your terminal. Your AI agent. One TUI.

Manage AWS, Hetzner, OVH, and custom servers from one terminal — with a built-in AI assistant and MCP server.

Quick Install

Linux / macOS:

curl -fsSL https://github.com/zb-ss/servonaut/releases/latest/download/install.sh | bash

Windows (PowerShell):

irm https://github.com/zb-ss/servonaut/releases/latest/download/install.ps1 | iex

The scripts come from the latest stable release and install Servonaut from PyPI with pipx. Every release carries them with install-scripts_SHA256SUMS, to check a downloaded copy before you run it.

Or install directly via pipx / pip:

pipx install servonaut

Desktop app (preview), Linux: download the .deb from servonaut.dev/download, and see the Linux desktop preview notes before you install it.

Desktop app (preview), macOS 13 or later: releases that carry it have a signed and notarized disk image for Apple silicon (macos-arm64.dmg) and one for Intel Macs (macos-x64.dmg) on the releases page; see the macOS desktop preview notes. Both desktop previews tell you when a newer one is out, and never install it by themselves.

Try a release candidate

Each release is published as a release candidate (for example 2.28.0rc1) a few days before the stable release. Candidates are for people who want the next release early and will report what goes wrong. pip and pipx install one only when you ask for it.

# The newest candidate, with the install script

curl -fsSL https://github.com/zb-ss/servonaut/releases/latest/download/install.sh | bash -s -- --pre

With pipx: a specific candidate, or the newest one

pipx install --force 'servonaut==2.28.0rc1' pipx install --force 'servonaut>=0rc0'

With pip

pip install --upgrade 'servonaut>=0rc0'

Try one without changing your installation

pipx run --spec 'servonaut==2.28.0rc1' servonaut

Go back to the newest stable release (your configuration is kept)

pipx install --force servonaut

On Windows, run $env:SERVONAUT_PRE = "1" before the PowerShell installer. Avoid pip install --pre and pipx install --pip-args=--pre: they also install pre-release versions of Servonaut's dependencies, and some of those do not work with it.

While you run a candidate, the update check offers newer candidates and then the stable release. A stable installation is only ever offered stable releases. Please report problems in GitHub issues. Details: Release candidates.

Standalone CLI preview

Standalone console-only archives are being validated for Windows x64, macOS Intel and Apple Silicon, and Ubuntu x64. They are not published or downloadable yet. Until signed release installers are available, install Servonaut with pipx or pip.

Manual install from source:

git clone https://github.com/zb-ss/servonaut.git

cd servonaut pipx install .

Set up with an AI agent

Prefer to let an AI agent do the whole thing? Paste this prompt into Claude Code, Cursor, or any coding assistant — it installs Servonaut, generates the config, and walks you through AWS / SSH / bastion / custom-server / AI-provider setup plus the MCP server.

Copy-paste setup prompt

Install and configure Servonaut, a TUI for managing servers (AWS EC2, OVHcloud, Hetzner Cloud, and custom SSH servers).
  1. Install with all optional features: pipx install 'servonaut[all]' (bundles the MCP server + OVH/Hetzner SDKs + keyring; AI log analysis needs no extra. Use plain pipx install servonaut for a minimal install.)
  2. Run servonaut once to generate ~/.servonaut/config.json
  3. (Optional) If I have a Servonaut account, run servonaut login to unlock the hosted features: Servonaut AI (chat with my fleet, no local API key), config sync across machines, Memory Sync, and proactive monitoring (Findings). Servonaut works fully offline against my own credentials if I skip this.
  4. Read ~/.servonaut/config.json and help me configure:
  • AWS regions to scan (default scans all, set regions array to limit)
  • Default SSH username (default_username, default "ec2-user")
  • Cache TTL (cache_ttl_seconds, default 3600)
  • Terminal emulator if not auto-detected (terminal_emulator)
  1. If I use bastion/jump hosts, help me set up connection_profiles and connection_rules
  2. If I have non-AWS servers, help me add them to custom_servers
  3. If I use OVHcloud or Hetzner Cloud, help me add the API credentials so those instances merge into the fleet
  4. For AI log analysis or chat with my own model (instead of Servonaut AI), help me configure ai_provider (openai/anthropic/gemini/ollama)
  • Each provider has its own key field (openai_api_key, anthropic_api_key, gemini_api_key, ollama_api_key); local Ollama needs none
  • Key fields support $ENV_VAR and file:~/.secrets/key syntax so secrets stay out of the config file
  1. Install the MCP server into my coding agent: servonaut --mcp-install claude (or cursor, windsurf, opencode, vscode, codex, agy, gemini, all)
  2. (Optional) To let AI agents/teammates reach this machine over the relay — and to run proactive Findings scans — start it with servonaut connect

After setup, launch with servonaut and walk me through the key features, including the Findings inbox if I enabled the hosted features.

Screenshots

📸 More screenshots — CloudWatch Top IPs, IP banning, AI chat, sidebar, instance list

*Instance list — AWS, Hetzner, OVH, and custom servers merged into one view*

*Sidebar reveals Fleet Memory, Memory Sync, Secrets, Settings, and per-provider management for OVH and Hetzner*

*Built-in AI assistant with MCP server integration — chat with local providers or hosted Servonaut AI*

*CloudWatch log browsing with Top IPs analysis, geolocation, and abuse scoring*

*Ban/unban IPs via WAF, Security Groups, or NACLs with audit trail*

All screenshots and the launch video were recorded with --demo active, which replaces real IPs, ARNs, paths, and secrets with safe fake equivalents. See docs/demo-mode.md for what is redacted and how to use it.

Features

*Badges: Solo+ = included with paid Solo/Teams plans.*

Core & connectivity
  • Interactive TUI — mouse + keyboard, powered by Textual.
  • Multi-provider fleet — AWS EC2, OVHcloud (dedicated / VPS / Public Cloud), Hetzner Cloud, and custom servers from any provider (DigitalOcean, on-prem, …) — listed and searchable in one view across all regions.
  • Multiple accounts per provider — several AWS accounts (named profiles), Hetzner projects and OVH accounts in the same fleet; servers show as account/name and every action runs in the server's own account. → docs
  • Per-instance dashboard — click a server for a Server Actions view: a memory snapshot (OS, disk, web stack, databases, runtimes, containers) plus an opt-in live resource monitor (L — CPU / RAM / load / disk / uptime, polled only while open).
  • SSH & SCP — one-key SSH in a new terminal window (auto-detected emulator); upload/download files and directories.
  • Run remote commands — overlay panel with real-time streaming output, history, and saved favorites.
  • Remote file browser — interactive file-tree navigation, inline in the dashboard or full-screen.
  • Real-time log viewer — stream logs via tail -f with pause, search, and log switching.
  • Robust SSH — bastion / jump-server (ProxyJump / ProxyCommand), keepalives on by default (tunable), per-host extra_ssh_options for legacy boxes, and key auto-discovery.
  • SSH host-key checking — trust on first use: the first connection records a server's host key, and a later connection presenting a different key is refused, with the exact command that removes the old key once you have confirmed the change. → docs
Cloud provider management
  • OVHcloud — OVH → ⚙ Manage: create / start / stop / reboot / delete (Cloud / VPS / dedicated), a region-first create wizard with API-backed pricing, plus DNS, IP blocks & failover IPs, snapshots, block storage, and billing.
  • Hetzner Cloud — Hetzner → ⚙ Manage: full lifecycle + project SSH-key registry, with an equivalent CLI (servonaut hetzner …). Auto-registers new servers. → docs
Observability & security
  • Proactive monitoring — Findings *(Solo+)* — cloud-side detectors surface fleet issues (disk, failed services, slow queries, credential-scanning cross-referenced with fail2ban, container health, TLS expiry, pending updates) as triageable cards, with gated one-click remediation (server-signed preview → human confirm → verb-allowlisted executor; block IP or renew a cert). → guide
  • CloudWatch Logs browser — log groups with Top-IPs analysis, IP geolocation, and AbuseIPDB lookups.
  • CloudTrail browser — AWS CloudTrail events with region / time / event / user filters.
  • IP ban manager — ban IPs via AWS WAF, Security Groups, or NACLs, with an audit trail.
  • Keyword server scanning — search file contents across instances.
AI
  • Servonaut AI *(Solo+)* — hosted AI gateway; chat with your fleet with no local API key. The model can tail logs, run commands (with confirmation), and triage incidents over the relay — credentials and SSH keys never leave the CLI. Quota inline / servonaut ai quota.
  • Bring your own key — OpenAI / Anthropic / Gemini / Ollama keys configured per-provider in Settings → AI Provider (local Ollama needs none). All coexist with Servonaut AI, switchable per-session.
  • Built-in AI chat — LLM assistant with tool-calling against your instances (the same MCP tool surface below).
  • AI log analysis — analyze logs with OpenAI, Anthropic, Gemini, or Ollama, with cost estimation.
  • Voice — dictate into the chat panel with ctrl+t, have replies read aloud, or go fully hands-free with conversation mode (ctrl+n): the mic stays open between turns and replies are spoken — with optional barge-in (headphones mode) to interrupt a reply by talking over it. Transcription and speech synthesis run entirely on your machine, so audio never leaves the workstation. Opt-in — nothing is downloaded until you enable it in Settings. → docs
Memory & secrets
  • Server memory — persistent per-server cache of OS / runtime / service / web-stack / log / database / container / git / disk facts; optional background fleet auto-scan. → docs
  • Memory Sync *(Solo+)* — end-to-end-encrypted backup of fleet memory to servonaut.dev (X25519 + AES-256-GCM, your passphrase), with drift detection, cross-device history, and optional auto-sync. ☁ Memory Sync in the sidebar.
  • Database credential vault *(Solo+)* — scan a server for the DB credentials its apps already use, store the password in your secret vault under a per-site label, and let the db_* tools resolve it by name — no password in config or agent context. → docs
Agents & automation (MCP)
  • MCP server — ~80 tools

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx