GitHub
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
Description from the maker (original English)
Governed Docker and Kubernetes operations for AI agents: scoped keys, guardrails, human approvals.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"whiskers": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/lupusmalusdeviant/whiskers:0.15.0"
]
}
}
}Run this in your terminal
claude mcp add whiskers -- docker run -i --rm ghcr.io/lupusmalusdeviant/whiskers:0.15.0Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"whiskers": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/lupusmalusdeviant/whiskers:0.15.0"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
Paste into .vscode/mcp.json in your project
{
"servers": {
"whiskers": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/lupusmalusdeviant/whiskers:0.15.0"
]
}
}
}Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
Your choice stays on this device in a cookie; no account needed.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Runs on your computer; the tool list appears in your AI app after you install it.
We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026
The registry name was verified with the GitHub account LupusMalusDeviant, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.
The registry does not list a required key, though some servers ask you to sign in on first use.
It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).
The GitHub repo last changed –, and the latest version (0.15.0) reached the registry 11 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Docker on your computer.
In the same category: GitHub, Desktop Commander, Cloudflare MCP
Servers in the same category from other makers, sorted by stars.
Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.
*"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
Only the beginning is shown; read the rest in the repo