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)
Governed Docker and Kubernetes operations for AI agents: scoped keys, guardrails, human approvals.
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。
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": {
"whiskers": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/lupusmalusdeviant/whiskers:0.15.0"
]
}
}
}在终端中运行这条命令
claude mcp add whiskers -- docker run -i --rm ghcr.io/lupusmalusdeviant/whiskers:0.15.0粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"whiskers": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/lupusmalusdeviant/whiskers:0.15.0"
]
}
}
}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": {
"whiskers": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/lupusmalusdeviant/whiskers:0.15.0"
]
}
}
}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7日
注册名称已通过 GitHub 账户 LupusMalusDeviant 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。
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(0.15.0)于11天前进入注册中心。
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 Docker。
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。
*"In the dark, predators don't rely on sight. They rely on their whiskers to sense the slightest vibration in the
air before striking — or stepping into a trap. Whiskers is the tactile sensory layer and zero-trust execution
mesh between hallucinating AI agents and your production infrastructure."*
Controlled infrastructure operations for humans and AI agents.
Whiskers is a self-hosted, zero-trust MCP control plane for Docker hosts and Kubernetes workloads. Instead of handing operators or AI agents unrestricted SSH access, it exposes explicit tools governed by permissions, code-enforced guardrails, approvals and a complete action history.
*Bootstrap a host once, then operate over mesh + mTLS without a standing private SSH key.*
⚠️ Beta. Whiskers is under active development and not yet API-stable.
Run it on a trusted network, review the security policy, and expect breaking
changes before
1.0.
The common pattern for a Docker or Kubernetes MCP server is to run it over stdio next to the agent and give it the raw /var/run/docker.sock or a kubeconfig. Whatever the model hallucinates, the socket executes. Whiskers is the antidote:
| Typical Docker/K8s MCP server | Whiskers control plane | |
|---|---|---|
| Access | Raw docker.sock or kubeconfig in the agent's process | The agent never touches the socket or the kubeconfig (encrypted in the vault) — it calls scoped tools; Kubernetes workloads are operated from the governed UI today, MCP pod tools are on the roadmap |
| Reach | stdio, one host | Agent ↔ Whiskers over Streamable HTTP; Whiskers ↔ many hosts over mesh + mTLS — no standing SSH key once a host is onboarded |
| Permissions | Everything the socket allows | Per key: Read, Write or Admin scope, optionally narrowed to an explicit tool list — checked on every call |
| Risky actions | Executed as requested | Guardrails (core, always on) allow, deny or pause for human approval; blast-radius and update-risk assessment tools available before an update (get_blast_radius, assess_update_risk; the plan_safe_update prompt chains them) |
| Afterwards | Usually no record | Hash-chained audit trail (checkpoints signed, and the trail tamper-evident, when VAULT_KEY is set) plus Agent History |
Zero-trust here means: no caller is trusted by default — every call is authenticated (API key or signed-in user), scope-checked and guardrail-evaluated in code, and every onboarded Docker host is reached over a private WireGuard mesh, with the Docker and host-control planes on mTLS (client certificate, CN-pinned). The opt-in Auth:Disabled LAN mode switches authentication off.
AI agents can operate infrastructure — but the usual way to let them is to hand over an SSH key or a shell, which grants far more power than any single task needs. Whiskers puts a governed layer in between:
execute_command is guardrail-checked and audited.The same control plane reaches Docker, Kubernetes, logs, deployments, services and CVE context — but that reach is evidence of coverage, not the headline. The headline is governed, accountable operations. See docs/product/POSITIONING.md for the full positioning.
flowchart LR
H[Human operator] A[AI agent] CP[Whiskers control plane] AUTH[Authentication & permissions] GR[Code-enforced guardrails] AP[Human approval] TOOLS[Explicit infrastructure tools] INFRA[Docker / Kubernetes / hosts] AUDIT[Agent history & audit log]
H --> CP A --> CP CP --> AUTH AUTH --> GR GR -->|allow| TOOLS GR -->|confirm| AP AP -->|approved| TOOLS GR -->|block| AUDIT TOOLS --> INFRA TOOLS --> AUDIT AP --> AUDIT
Prebuilt multi-arch images (amd64 / arm64) are published to `ghcr.io/lupusmalusdeviant/whiskers` from v0.12.0. Before that release, use the *From source* path below.
VER=X.Y.Z # a release from https://github.com/LupusMalusDeviant/Whiskers/releases
curl -fsSLO "https://github.com/LupusMalusDeviant/Whiskers/releases/download/v${VER}/install.sh" curl -fsSLO "https://github.com/LupusMalusDeviant/Whiskers/releases/download/v${VER}/checksums.txt" sha256sum --check --ignore-missing checksums.txt && bash install.sh # the checksum catches a broken download; the
docker run -d --name whiskers -p 127.0.0.1:5100:8080 \ -v whiskers-data:/app/data -v /var/run/docker.sock:/var/run/docker.sock \ "ghcr.io/lupusmalusdeviant/whiskers:${VER}"
Open http://127.0.0.1:5100. The installer accepts --version, --port, --bind, --data, --verify, --yes (install.sh --help); it never installs latest (installers attached to releases up to 0.15.0 still default to latest; this applies from the next release on). It prints where the vault key is and what to back up — keep the key and the backups apart, off the host. Re-running it with a newer release upgrades in place (only the image line changes; downgrades are refused). Details: deploy/README.md → Installer.
Download docker-compose.yml from the latest release (already pinned to the image), then docker compose up -d. Optional settings go in a .env beside it — everything is optional, Whiskers runs with none (see .env.example).
The app listens on 127.0.0.1:5100 by default (HOST_BIND / HOST_PORT) and never binds publicly unless you change the bind.
On first launch a guided setup wizard in the browser creates the admin account — no .env and no config file required. Because whoever completes the wizard becomes Admin, it first asks for a one-time setup token that only someone with access to the server can read: docker exec whiskers cat /app/data/setup-token.txt (the installer prints it; Helm users kubectl exec the same path, or preset it with WHISKERS_SETUP_TOKEN). From then on you sign in with that local login (email + password; 5 wrong passwords lock the account for 15 minutes, and login attempts are rate-limited per client). Admins add, reset and delete local accounts under *Settings → Local accounts*; everyone changes their own password under *My account*; a forgotten password is recovered with a one-time code (from an Admin, or on the host with --recover-local-account) — see Local accounts. Local accounts have no second factor (MFA) in 1.0: for production, sign in through your identity provider (OIDC) and require MFA there, and keep local accounts as a break-glass fallback. Alternatives: seed the admin unattended with WHISKERS_ADMIN_EMAIL + WHISKERS_ADMIN_PASSWORD_FILE; use Google or generic OIDC (see Configuration); or, for a trial on a trusted network, AUTH_DISABLED=true — every request is then an Admin, so Whiskers only answers clients from private networks, with an IP or localhost as host name and without a foreign Origin (see Configuration).
Whiskers is self-hosted: there is no hosted or cloud endpoint. Your MCP client talks to your own instance at /mcp (Streamable HTTP) with an API key created under *Settings → MCP*:
{
"mcpServers": { "whiskers": { "type": "http", "url": "http://localhost:5100/mcp", "headers": { "Authorization": "Bearer " } } } }
The client snippets below read the key from the environment, so it never lands in a config file — export it first (export WHISKERS_MCP_API_KEY=…, or from your shell profile or secret manager).
Claude Code — the single quotes keep ${WHISKERS_MCP_API_KEY} literal in .mcp.json; Claude Code expands it when it loads the file:
claude mcp add --transport http --scope project whiskers http://localhost:5100/mcp --header 'Authorization: Bearer ${WHISKERS_MCP_API_KEY}'
Crush (charmbracelet/crush) — add this line to ./crushrc (project) or ~/.config/crush/crushrc (global); Crush expands $WHISKERS_MCP_API_KEY when it loads the config:
mcp add whiskers --type http --url "http://localhost:5100/mcp" --header Authorization "Bearer $WHISKERS_MCP_API_KEY"
Still on the legacy JSON config? Th
只显示了开头部分;其余内容请在仓库中阅读