GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
作者提供的说明(英文原文)
Read-only SSH server diagnostics via a fixed 38-command whitelist; secrets redacted, no write path.
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。
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。
选择你使用的 AI 应用,然后复制设置。
RP_HOSTS, RP_PROBE_URL你需要
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": {
"rootpilot-ssh-diagnose": {
"command": "npx",
"args": [
"-y",
"@rootpilot/mcp-ssh-diagnose"
],
"env": {
"RP_HOSTS": "your-value",
"RP_PROBE_URL": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add rootpilot-ssh-diagnose --env RP_HOSTS=your-value --env RP_PROBE_URL=your-value -- npx -y @rootpilot/mcp-ssh-diagnose运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"rootpilot-ssh-diagnose": {
"command": "npx",
"args": [
"-y",
"@rootpilot/mcp-ssh-diagnose"
],
"env": {
"RP_HOSTS": "your-value",
"RP_PROBE_URL": "your-value"
}
}
}
}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。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"rootpilot-ssh-diagnose": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@rootpilot/mcp-ssh-diagnose"
],
"env": {
"RP_HOSTS": "your-value",
"RP_PROBE_URL": "your-value"
}
}
}
}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。
RP_PROBE_URL env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。
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8日
注册名称已通过 GitHub 账户 Easton-OU 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
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。
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。
你需要填写:RP_HOSTS
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)。
GitHub 仓库最后更新于–,最新版本(0.1.2)于4个月前进入注册中心。
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 Node.js。
同一分类中有:GitHub, Desktop Commander, Cloudflare MCP
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
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
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。
This is the open-source, bring-your-own-LLM taste of RootPilot. The full product adds calibrated diagnosis (89.7% across 29 standard failure scenarios, zero false alarms on healthy hosts), alert-triggered auto-diagnosis, history, and multi-host management → rootpilotx.com · deployment repo: rootpilot-release
An MCP server that lets any MCP client — Claude Desktop, Claude Code, or your own — safely collect read-only diagnostics from your servers over SSH. It gathers evidence from a fixed whitelist of read-only commands; your model does the reasoning. The server never runs anything outside the whitelist, and never makes a change to your hosts.
When a server misbehaves, you end up SSH-ing in and running the same twenty commands — df -h, docker ps, dmesg | grep -i oom, free -m — then eyeballing the output. This server turns that into a conversation: your LLM asks for exactly the evidence it needs, gets structured, secret-redacted output back, and reasons about the root cause. You stay in control; nothing leaves your machine except SSH to your own hosts.
get_whitelist lists them all). There is no tool that runs an arbitrary command — not even with a confirmation prompt. Every command only inspects state.^[a-zA-Z0-9_.-]+$ before it is ever placed in a command. web; rm -rf / is rejected, not escaped.KEY=value secrets, Bearer/Basic tokens, sk-/ghp_/AKIA… key shapes, PEM private-key blocks, and credentials embedded in URLs. docker inspect env values are scrubbed.Add the server to your MCP client. For Claude Desktop (claude_desktop_config.json):
{
"mcpServers": { "rootpilot-ssh-diagnose": { "command": "npx", "args": ["-y", "@rootpilot/mcp-ssh-diagnose"], "env": { "RP_HOSTS": "/Users/me/.rootpilot-mcp/hosts.json" } } } }
Then create hosts.json (see hosts.example.json):
[
{ "name": "prod-1", "host": "1.2.3.4", "port": 22, "user": "rootpilot", "auth": { "type": "key", "keyPath": "~/.ssh/rootpilot_key" } }, { "name": "prod-2", "host": "10.0.0.5", "user": "ops", "auth": { "type": "password", "password": "..." } } ]
Restart your client. Ask it: "Diagnose prod-1" (or run the diagnose-host prompt).
Use a least-privilege account. Create a dedicated read-only SSH user for diagnostics rather than reusing root. The commands only read state, but the account should reflect that.
| tool | arguments | what it does |
|---|---|---|
list_hosts | probe? | List configured hosts; with probe, also test SSH reachability |
get_whitelist | — | Return all 38 commands (key, purpose, template) so you and the model can audit exactly what can run |
collect | host, keys[] (≤8), container? | Run specific whitelisted commands and return redacted, truncated output |
collect_base | host | Shortcut: the base overview (docker_ps, df, df_inode, free, uptime, dmesg_oom, docker_daemon) |
container_deep_dive | host, container | Shortcut: docker_logs, docker_inspect (redacted), container_state, docker_stats for one container |
Two prompts ship built-in: `diagnose-host` (evidence-first root-cause walkthrough) and `health-check` (a light sweep).
| env var | default | purpose |
|---|---|---|
RP_HOSTS | — | Path to your hosts.json (required) |
RP_PROBE_URL | https://cloudflare.com | Target for the outbound-connectivity / DNS probes |
RP_NO_PROMO | — | Set to 1 to silence the one-line pointer to the full product |
your MCP client (the LLM)
│ "collect df, docker_ps, dmesg_oom from prod-1" ▼ rootpilot-ssh-diagnose ──ssh──▶ your server │ renders a whitelisted template, runs it read-only, │ redacts secrets, truncates, returns structured output ▼ the LLM reasons about root cause from the evidence
The server deliberately does no analysis of its own — no built-in LLM call, no multi-round orchestration. That boundary is the point: it's a clean, auditable evidence collector. Calibrated diagnosis (deciding *which* evidence to pull for *which* symptom, across follow-up rounds, scored against a failure-scenario library) is what the full RootPilot product does.
Does it ever change my server? No. Every command is read-only, and there is no arbitrary-command tool. The full whitelist is visible via get_whitelist.
Where does my data go? Nowhere except SSH between this server (running on your machine) and your hosts. Command output goes to your MCP client's model. No telemetry.
Which LLM does it use? None of its own — it's bring-your-own. Whatever model your MCP client runs does the reasoning.
Can it manage Windows servers or jump hosts? Not in v1. It targets Linux hosts over direct SSH.
How is this different from RootPilot? This collects evidence; you (or your model) interpret it ad hoc. RootPilot adds calibrated diagnosis, alert-triggered auto-diagnosis, a per-host history ("medical record"), and multi-host management. See rootpilotx.com.
npm install
npm run build # compile to dist/ npm test # whitelist / injection / redaction / timeout tests npm run typecheck
MIT — see LICENSE.