Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Permission-gated superuser (sysadmin) MCP agent with enterprise guardrails and audit.
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。
SUPERUSER_HUMAN_OWNER, SUPERUSER_APPROVAL_AT, AI_DEFENSE_INSPECTION_API_KEY, DUO_TOKEN_URL, DUO_CLIENT_ID, DUO_CLIENT_SECRET, STRIPE_API_KEY标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
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": {
"superuser": {
"command": "uvx",
"args": [
"superuser"
],
"env": {
"SUPERUSER_HUMAN_OWNER": "your-value",
"SUPERUSER_APPROVAL_AT": "your-value",
"AI_DEFENSE_INSPECTION_API_KEY": "your-value",
"DUO_TOKEN_URL": "your-value",
"DUO_CLIENT_ID": "your-value",
"DUO_CLIENT_SECRET": "your-value",
"STRIPE_API_KEY": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add superuser --env SUPERUSER_HUMAN_OWNER=your-value --env SUPERUSER_APPROVAL_AT=your-value --env AI_DEFENSE_INSPECTION_API_KEY=your-value --env DUO_TOKEN_URL=your-value --env DUO_CLIENT_ID=your-value --env DUO_CLIENT_SECRET=your-value --env STRIPE_API_KEY=your-value -- uvx superuser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": {
"superuser": {
"command": "uvx",
"args": [
"superuser"
],
"env": {
"SUPERUSER_HUMAN_OWNER": "your-value",
"SUPERUSER_APPROVAL_AT": "your-value",
"AI_DEFENSE_INSPECTION_API_KEY": "your-value",
"DUO_TOKEN_URL": "your-value",
"DUO_CLIENT_ID": "your-value",
"DUO_CLIENT_SECRET": "your-value",
"STRIPE_API_KEY": "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": {
"superuser": {
"type": "stdio",
"command": "uvx",
"args": [
"superuser"
],
"env": {
"SUPERUSER_HUMAN_OWNER": "your-value",
"SUPERUSER_APPROVAL_AT": "your-value",
"AI_DEFENSE_INSPECTION_API_KEY": "your-value",
"DUO_TOKEN_URL": "your-value",
"DUO_CLIENT_ID": "your-value",
"DUO_CLIENT_SECRET": "your-value",
"STRIPE_API_KEY": "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。
SUPERUSER_HUMAN_OWNER envSUPERUSER_APPROVAL_AT envDUO_TOKEN_URL envDUO_CLIENT_ID 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7日
注册名称已通过 GitHub 账户 fitzyracing1 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:AI_DEFENSE_INSPECTION_API_KEY, DUO_CLIENT_SECRET, STRIPE_API_KEY
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(0.1.0)于15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 Python (uv)。
同一分类中有:Spec Driven Development, Remote Desktop Commander, TF Rooms
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
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Live room availability, rates and stay quotes for 12 New Leaf motels in Twin Falls, Idaho.
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。
A permission-gated superuser agent exposed over the Model Context Protocol (MCP). It gives an AI agent real system-administration powers on this machine — running shell commands, checking system state, and acting on GitHub — while wrapping every action in guardrails: a dangerous-command denylist, a human-approval gate for risky operations, least-privilege GitHub access, an append-only audit log, and Cisco AI Defense runtime inspection of every tool call and response.
The design goal is the version of a "superuser agent" you can actually ship: powerful, but safe, auditable, and compatible with enterprise guardrails.
Landing site: https://fitzyracing1.github.io/super-landing/ (source: fitzyracing1/super-landing).
The previous Pages site in this repo is preserved at tag
site-v1/ branchsite-archive.
An agent that can do *anything* as root is a liability, not a product. Buyers (and marketplace security reviews) expect scoping, approvals, and an audit trail. So capabilities here always pass through a single choke point — the Guard — which enforces, in order:
approval_required_at (default MEDIUM) needs an explicit confirm=true from a human.human owner -> agent -> tool -> action -> outcome.This mirrors the enterprise model: your app owns scoping + approvals + local audit; Cisco AI Defense provides runtime threat inspection at the MCP layer; Cisco Duo Agentic Identity provides per-tool-call authorization tied to an accountable human owner; and Stripe turns metered tool calls into revenue.
Duo follows a "Duo decides, the gateway enforces" model. This agent registers as a non-human identity, authenticates via the OAuth 2.1 client-credentials grant (with an RFC 8707 resource indicator), and authorizes every tool call either by matching the tool's required scope against what Duo granted, or by calling an explicit Duo decision endpoint. Set DUO_ENABLED=true plus DUO_TOKEN_URL / DUO_CLIENT_ID / DUO_CLIENT_SECRET (see .env.example). When Duo is not configured, calls are allowed but flagged governed: false; in enforce mode authorization errors fail closed.
Each authorized, successful tool call emits a Stripe meter event (v2 billing meter events API), so the agent can be sold per-action. Configure a meter in Stripe, then set STRIPE_ENABLED=true, STRIPE_API_KEY, STRIPE_CUSTOMER_ID, and STRIPE_METER_EVENT_NAME. Per-tool weights let higher-risk actions cost more. Billing is best-effort: metering failures are logged and never block or fail the tool call (results are annotated billed: true|false).
| Tool | Risk | Notes |
|---|---|---|
system_status | LOW | Host, CPU, memory, uptime |
disk_usage | LOW | Per-partition disk usage |
list_processes | LOW | Top processes by memory/cpu |
run_command | HIGH* | Shell command; denylist + approval + audit |
github_get_repo | LOW | Repo metadata (allowlisted repos only) |
github_list_issues | LOW | Issues for an allowlisted repo |
github_create_issue_comment | HIGH | Write; needs approval + GITHUB_ALLOW_WRITES |
security_status | — | Reports the active guardrail configuration |
\* run_command is LOW risk only when its base command is in command_allowlist; otherwise HIGH (requires confirm=true).
Not yet on PyPI. Install straight from git:
pip install "superuser @ git+https://github.com/fitzyracing1/Super.git"
pip install "superuser[all] @ git+https://github.com/fitzyracing1/Super.git" # + Cisco AI Defense + Stripe SDKs
From a clone:
Requires Python 3.10+.
pip install -e . # core agent (Duo authz uses requests; no extra dep)
pip install -e '.[security]' # + Cisco AI Defense SDK (cisco-aidefense-sdk) pip install -e '.[billing]' # + Stripe SDK (usage-based billing) pip install -e '.[all]' # security + billing pip install -e '.[dev]' # + pytest / ruff
Copy .env.example to .env (or use a YAML file — see superuser.example.yaml) and set values. Key settings:
SUPERUSER_HUMAN_OWNER — the human accountable for the agent's actions.SUPERUSER_APPROVAL_AT — risk threshold for the approval gate (LOW…CRITICAL).AI_DEFENSE_* — Cisco AI Defense credentials/mode (see below).DUO_* — Cisco Duo Agentic Identity authorization (see below).STRIPE_* — Stripe usage-based billing (see below).GITHUB_TOKEN, GITHUB_ALLOWED_REPOS, GITHUB_ALLOW_WRITES — least-privilege GitHub.For a full console-value → env-var mapping for all three services, see
docs/INTEGRATIONS.md.
Install the SDK (pip install 'superuser[security]') and provide credentials:
AI_DEFENSE_INSPECTION_API_KEY.agentsec.protect() auto-patches LLM + MCP clients): set AI_DEFENSE_API_MODE_LLM_ENDPOINT + AI_DEFENSE_API_MODE_LLM_API_KEY, or point AI_DEFENSE_AGENTSEC_CONFIG at an agentsec.yaml (see agentsec.example.yaml).AI_DEFENSE_MODE: enforce (block), monitor (log only), or off.If the SDK is not installed or no credentials are set, the agent still runs but every result is annotated protected: false / UNPROTECTED — the gap is never silent. In enforce mode, inspection errors fail closed (the call is blocked); in monitor mode they fail open (logged, allowed).
| Area | Variables |
|---|---|
| Core | SUPERUSER_CONFIG, SUPERUSER_HUMAN_OWNER, SUPERUSER_APPROVAL_AT, SUPERUSER_COMMAND_TIMEOUT, SUPERUSER_AUDIT_LOG |
| Cisco AI Defense | AI_DEFENSE_ENABLED (default true; set false for local dev), AI_DEFENSE_MODE, AI_DEFENSE_INSPECTION_API_KEY, AI_DEFENSE_API_MODE_LLM_ENDPOINT, AI_DEFENSE_API_MODE_LLM_API_KEY, AI_DEFENSE_AGENTSEC_CONFIG |
| Cisco Duo | DUO_ENABLED, DUO_MODE, DUO_AGENT_ID, DUO_TOKEN_URL, DUO_CLIENT_ID, DUO_CLIENT_SECRET, DUO_AUTHORIZATION_URL, DUO_RESOURCE, DUO_SCOPES |
| Stripe | STRIPE_ENABLED, STRIPE_API_KEY, STRIPE_CUSTOMER_ID, STRIPE_METER_EVENT_NAME, STRIPE_DEFAULT_VALUE |
| GitHub | GITHUB_TOKEN, GITHUB_ALLOWED_REPOS, GITHUB_ALLOW_WRITES, GITHUB_API_URL |
With no keys set the server still runs: Duo and Stripe are off by default, and Cisco AI Defense runs unprotected (clearly flagged) if the SDK/keys are missing.
# Validate configuration and print guardrail/Cisco status, then exit:
superuser --check
superuser
Example client config (stdio):
{
"mcpServers": { "superuser": { "command": "superuser", "env": { "SUPERUSER_HUMAN_OWNER": "you@example.com", "AI_DEFENSE_MODE": "enforce", "AI_DEFENSE_INSPECTION_API_KEY": "..." } } } }
pytest
.env / *.yaml config files out of version control (already in .gitignore).Apache-2.0.
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