Python 3.10+ | Textual UI

A modern TUI for
Managing Servers

Manage AWS, OVH Cloud, and Hetzner Cloud servers from one TUI — SSH, SCP, full server lifecycle, AI log analysis, and an MCP server for agents like Claude Code.

Servonaut AI — hosted chat & server triage included on Solo & Teams plans.

bash
$ pipx install servonaut
$ servonaut # Launch TUI
All Install Options
Servonaut AI Assistant
MCP Server Online
{{ msg.text }}

Command your Infrastructure

One TUI for AWS, OVH Cloud, Hetzner Cloud, and any custom server — with an AI-callable MCP surface on top.

Multi-cloud lifecycle

AWS EC2, OVH (Public Cloud / VPS / dedicated), Hetzner Cloud, and any custom SSH host in one searchable list. Create, start, stop, reboot, and delete from the same Manager screen.

> AWS · OVH · Hetzner
> + custom SSH

MCP server & hosted AI

46 MCP tools your agent can call — full provider lifecycle, server memory, CloudWatch & CloudTrail analysis, IP-ban controls, run commands, fetch logs. Hosted Servonaut AI on Solo & Teams plans, or bring your own Anthropic / OpenAI / Gemini / Ollama key.

$ servonaut --mcp-install

Security & observability

CloudTrail audit, CloudWatch log analysis, IP ban via AWS WAF / Security Groups / NACLs, and AbuseIPDB enrichment — all wired into the same instance row.

> CloudTrail Explorer
> IP Ban Manager

AI-Powered Server Management

Give your AI agents direct access to your infrastructure via the Model Context Protocol.

Servonaut ships with a built-in MCP server. One command installs it into Claude Code, giving AI agents read and write access to your servers through structured, auditable tool calls.

Works with Claude Code, Cursor, Windsurf, and any other MCP-compatible client. Guard levels (readonly, standard, dangerous) let you control exactly what the AI can touch.

No TUI required — install Servonaut purely as an MCP backend for your coding agent with pipx install 'servonaut[mcp]', even on a headless server or CI box. See the agent-only install guide.

Install MCP server
$ servonaut --mcp-install
Log Analysis

Surface errors and anomalies across all your servers in seconds.

CloudTrail & WAF

Browse CloudTrail events and manage WAF rules from a guided flow, with every change audited.

Natural Language Commands

Describe what you want. The AI figures out which tools to call.

Claude Code + Servonaut MCP
> Claude, check my server logs for errors
→ Calling get_logs(server="prod-1", lines=100)
→ Found 3 critical errors in nginx.log
→ Analyzing patterns...

> Deploy the fix to staging
→ Calling run_command(server="staging", cmd="git pull && restart")
→ Deployment complete. Service healthy.

> Scan CloudTrail for suspicious activity
→ Calling cloudtrail_lookup_events(hours_back=24)
→ 2 unusual IAM events detected from 203.0.113.42
→ Calling ip_ban_set(ip_address="203.0.113.42", config_name="waf-blocklist", action="ban")
→ IP banned. WAF rule created.

See the real workflow

Watch the workflow, not a sales pitch

Focused feature tours show the real TUI, each decision point, and the final result.

Browse all videos
Open the complete video library

Up and running in minutes

No agents to configure, no infrastructure to provision. Just install and go.

01

Install

$ pipx install servonaut

One command. No dependencies to wrangle. Works on Linux, macOS, and Windows.

02

Configure

Point to your accounts. AWS EC2 auto-discovers from the AWS CLI profile. OVH and Hetzner use one-shot setup wizards. Custom SSH hosts slot in via ~/.servonaut/config.json.

AWS EC2 OVH Cloud Hetzner Cloud Custom SSH
03

Manage

SSH, deploy, create & destroy servers, analyze logs, audit CloudTrail, manage WAF rules — all from your terminal. Or let your AI agent handle it via 46 MCP tools.

SSH/SCP Lifecycle CloudTrail WAF MCP

Built for modern infrastructure teams

Open Source MIT Licensed Python 3.10+ MCP Tools for AI Agents
GitHub Stars

Ready to level up?

The CLI is free and open source. Upgrade for cloud config sync and a hosted MCP server for your AI agents.

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Quick Installation

Install Options
# 1. Linux / macOS auto-installer
curl -sSL https://raw.githubusercontent.com/zb-ss/ec2-ssh/master/install.sh | bash

# 2. Windows (PowerShell)
irm https://raw.githubusercontent.com/zb-ss/ec2-ssh/master/install.ps1 | iex

# 3. Pipx (Recommended for isolated install)
pipx install servonaut
# Optional MCP server dependency
pipx inject servonaut mcp

# 4. Agent-only / headless — MCP backend without the TUI
pipx install 'servonaut[mcp]'

Requires Python 3.10+, an SSH client, and AWS CLI configured.