Robin: AI-Powered Dark Web OSINT
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Human approval for AI agents: E2E-encrypted secrets and gated Gmail, GitHub and MCP tools.
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月14日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要 aiSecurityWarden 的密钥(在开发者网站创建) · 需要填写 1 项设置(SW_SERVER_URL) · 需要先在电脑上安装 Python (uv)(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
这些是程序设置,不是密钥,无需注册。按开发者的说明填写。
SW_SERVER_URL Your aiSecurityWarden server · 默认值 https://app.aisecuritywarden.com说明仍为英文原文。
SettingsDeveloperEdit Config
{
"mcpServers": {
"aisecuritywarden": {
"command": "uvx",
"args": [
"aisecuritywarden",
"serve"
],
"env": {
"SW_SERVER_URL": "https://app.aisecuritywarden.com",
"SW_TOKEN_NAME": "your-value",
"SW_TOKEN_ID": "your-value"
}
}
}
}只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 aiSecurityWarden 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 aiSecurityWarden,或回答中出现 aiSecurityWarden 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 aiSecurityWarden
aiSecurityWarden 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 aiSecurityWarden 的应用
B · 网络安全 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要 aiSecurityWarden 的密钥(在开发者网站创建) · 需要填写 1 项设置(SW_SERVER_URL) · 需要先在电脑上安装 Python (uv)(只需一次)
这些是程序设置,不是密钥,无需注册。按开发者的说明填写。
SW_SERVER_URL Your aiSecurityWarden server · 默认值 https://app.aisecuritywarden.com说明仍为英文原文。
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --scope user aisecuritywarden --env SW_SERVER_URL=https://app.aisecuritywarden.com --env SW_TOKEN_NAME=your-value --env SW_TOKEN_ID=your-value -- uvx aisecuritywarden serve按 Enter 前,把“your-value”改成你的密钥
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
应能看到 aiSecurityWarden 在列表中并显示已连接
用 aiSecurityWarden 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 aiSecurityWarden,或回答中出现 aiSecurityWarden 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要 aiSecurityWarden 的密钥(在开发者网站创建) · 需要填写 1 项设置(SW_SERVER_URL) · 需要先在电脑上安装 Python (uv)(只需一次)
这些是程序设置,不是密钥,无需注册。按开发者的说明填写。
SW_SERVER_URL Your aiSecurityWarden server · 默认值 https://app.aisecuritywarden.com说明仍为英文原文。
在 aiSecurityWarden 的设置中,SW_TOKEN_NAME, SW_TOKEN_ID, SW_SERVER_URL 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 aiSecurityWarden 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 aiSecurityWarden,或回答中出现 aiSecurityWarden 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要 aiSecurityWarden 的密钥(在开发者网站创建) · 需要填写 1 项设置(SW_SERVER_URL) · 需要先在电脑上安装 Python (uv)(只需一次)
这些是程序设置,不是密钥,无需注册。按开发者的说明填写。
SW_SERVER_URL Your aiSecurityWarden server · 默认值 https://app.aisecuritywarden.com说明仍为英文原文。
在 aiSecurityWarden 的设置中,SW_TOKEN_NAME, SW_TOKEN_ID, SW_SERVER_URL 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 aiSecurityWarden 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 aiSecurityWarden,或回答中出现 aiSecurityWarden 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
claude mcp add --scope user aisecuritywarden --env SW_SERVER_URL=https://app.aisecuritywarden.com --env SW_TOKEN_NAME=your-value --env SW_TOKEN_ID=your-value -- uvx aisecuritywarden serveClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"aisecuritywarden": {
"command": "uvx",
"args": [
"aisecuritywarden",
"serve"
],
"env": {
"SW_SERVER_URL": "https://app.aisecuritywarden.com",
"SW_TOKEN_NAME": "your-value",
"SW_TOKEN_ID": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"aisecuritywarden": {
"command": "uvx",
"args": [
"aisecuritywarden",
"serve"
],
"env": {
"SW_SERVER_URL": "https://app.aisecuritywarden.com",
"SW_TOKEN_NAME": "your-value",
"SW_TOKEN_ID": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"aisecuritywarden": {
"type": "stdio",
"command": "uvx",
"args": [
"aisecuritywarden",
"serve"
],
"env": {
"SW_SERVER_URL": "https://app.aisecuritywarden.com",
"SW_TOKEN_NAME": "your-value",
"SW_TOKEN_ID": "your-value"
}
}
}
}SW_SERVER_URL 必填 envSW_TOKEN_NAME 机密 必填 envSW_TOKEN_ID 机密 必填 env说明仍为英文原文。
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。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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14日
注册名称已通过 GitHub 账户 SoftDevEng 验证,该账户拥有此仓库
代码最后更新于今天
使用 Apache-2.0
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
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
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 3 项适用的基础检查中通过了 3 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:SW_TOKEN_NAME, SW_TOKEN_ID
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 仓库最后更新于今天,最新版本(0.7.6)于今天进入注册中心。
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:Robin: AI-Powered Dark Web OSINT, HOL Guard, SonarQube MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ 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
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
Analyze code quality and security with SonarQube Server or Cloud directly in AI assistants.
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。
The open-source client for [aiSecurityWarden](https://aisecuritywarden.com), a secrets service with scoped, revocable machine tokens, end-to-end encryption and human approval for AI agents. Built so AI agents (like Hermes Agent) and other unattended services can fetch API keys at startup without ever storing those keys on disk.
All encryption and decryption happens here, in the client. The server only ever receives ciphertext, proofs it keeps only as Argon2id hashes, and wrapped keys, so you can check what leaves your machine by reading this code.
Get an account and see how it works at [aisecuritywarden.com](https://aisecuritywarden.com).
This repository contains:
securitywarden.client.SecurityWardenClient);swctl, the command-line tool (machines: swctl export / swctl run; admins: swctl admin ...);swadmin, a small desktop admin window;src/securitywarden/crypto.py), the approval-policy and address-list parsers, and the shared test vectors other implementations are checked against;The aiSecurityWarden server is a separate product.
Status: alpha. The design is deliberately small and reviewable, but it has not had an independent
security audit. Read the threat model.
Admin workstation aiSecurityWarden server Agent box (e.g. jarvis)
───────────────── ───────────────────── ─────────────────────── swctl admin ... stores only: sw1.m. . : • creates project key ───────▶ • ciphertext (chmod 600 file) • encrypts secrets • Argon2 hashes │ • wraps project key • wrapped keys ◀── id+secret ─────┤ 1. auth → 5-min JWT per machine token • audit log ─── ciphertext ──▶ │ 2. fetch │ 3. decrypt locally with ▼ KEY=VALUE → agent env → tools
A machine token has three parts:
| Part | Sent to server? | Purpose |
|---|---|---|
id | yes | identifies the token |
secret | yes (over TLS) | proves possession; server keeps only an Argon2id hash |
key | never | unwraps the project key, which decrypts the secrets |
So the server can authenticate a token and hand out ciphertext, but it cannot read any secret. A full copy of the server's database is useless without a token key.
Protects against
Does not protect against
swctl from a source you trust.pipx install aisecuritywarden # or: pip install aisecuritywarden (in a virtual environment)
It installs the commands swctl, sw-mcp and swadmin. In Python code (connectors) the package is imported as securitywarden, e.g. from securitywarden.mcp import Connector.
Coming from 0.6 (installed as `securitywarden`)? Reinstall once under the new name; your tokens and settings stay where they are:
pip uninstall securitywarden && pip install aisecuritywarden # same environment as before
Needs Python 3.10+, on Linux, Windows or macOS (all three are tested in CI). swadmin also needs Tkinter: it ships with the python.org installers for Windows and macOS; on Debian/Ubuntu, sudo apt install python3-tk.
swadmin works. Avoid Apple's built-in /usr/bin/python3: its Tk is old and draws windows badly. With Homebrew's Python, also run brew install python-tk. python3 -m venv ~/.venvs/securitywarden
~/.venvs/securitywarden/bin/pip install aisecuritywarden ~/.venvs/securitywarden/bin/swadmin # the admin window; swctl and sw-mcp are next to it
~/.config/securitywarden/ (tokens, the admin credential file if you use one, swctl's cached 2FA session), each readable by you only.The website works in Safari too (CI runs it in WebKit, Safari's engine).
sw-mcp update --check # or: swctl update --check
sw-mcp update # installs the newest signed release; never an older one
Or ask your agent: "check for aiSecurityWarden updates" / "update aiSecurityWarden". The agent's securitywarden_update tool asks you to approve the exact version first. Restart the agent app afterwards. When a newer client is out, the agent is told once (and every time if the server requires it). Updates are signed with an offline release key and checked against the key built into the client; see DESIGN.md "Client updates".
From source:
git clone https://github.com/SoftDevEng/aiSecurityWarden-client && cd aiSecurityWarden-client
pip install -e ".[dev]" && pytest
You need the address of an aiSecurityWarden server and, to administer it, its admin credential.
mkdir -p ~/.config/securitywarden
echo 'sw1.a....' > ~/.config/securitywarden/admin.cred && chmod 600 ~/.config/securitywarden/admin.cred export SW_SERVER_URL=https://vault.example.com
swctl admin project create hermes-webull swctl admin secret set hermes-webull WEBULL_APP_KEY # prompts; value never in argv/history swctl admin secret set hermes-webull WEBULL_APP_SECRET swctl admin token create hermes-webull --name jarvis --expires-days 180
export SW_SERVER_URL=https://vault.example.com SW_TOKEN_ID=<token id> SW_TOKEN_NAME=jarvis
swctl setup # paste the one-time setup code the website (or --setup-code) shows
swctl export # KEY=VALUE lines swctl export --format json swctl run -- python my_bot.py # run a command with secrets in its environment
Hermes supports custom vaults through a command helper that prints KEY=VALUE lines at launch. That's exactly what swctl export does. See examples/hermes/ for a wrapper script and config.
sw-mcp)sw-mcp gives an agent tools for an application, such as Gmail, as an MCP server. Every action goes through the token's rules in aiSecurityWarden: reading may be allowed outright, while sending an email waits until you approve exactly that email (on the website, in swadmin, Telegram or ntfy). The agent is told it's waiting and checks back. See docs/mcp-gmail.md for the Gmail set-up with Hermes, and DESIGN.md for writing a connector for another application.
sw-mcp tools --connector gmail # the tools, their actions, risks and suggested rules
sw-mcp serve --connector gmail # what Hermes runs (stdio) sw-mcp call gmail_search query=is:unread limit=5 # try one tool by hand; waits for approval if needed sw-mcp setup --token-file ~/.config/securitywarden/gmail-token # store the token from a one-time setup code
Other applications get a connector: one Python class whose tools each declare an action and a risk. An AI can write one: sw-mcp new-connector NAME creates the project (with instructions for the AI in AGENTS.md), sw-mcp guide prints the rules, and sw-mcp check plus the generated tests confirm it's right. Installed connector packages are found by name (--connector NAME). See docs/connectors.md.
Connectors can also come from aiSecurityWarden itself: turn a built-in one (Gmail) on for a project on the website, or upload your own (sw-mcp pack NAME, then Connectors > Upload; encrypted in the browser, account-wide, versioned with a backup of the version replaced). sw-mcp serve then loads whatever the token's project uses, with no --connector needed, and picks up new versions as you choose: at once, or on the next restart.
Every agent connected to sw-mcp is told the essentials when it connects: how to wait for an approval, to treat email and web content as untrusted, to use only setup codes you typed, and to update through securitywarden_update (never pip or pipx, never killing sw-mcp). Agents that support skills can get the full guide too:
sw-mcp skill install hermes # Hermes Agent: ~/.hermes/skills/aisecuritywarden/SKILL.md
sw-mcp skill install claude # Claude Code: ~/.claude/skills/aisecuritywarden/SKILL.md sw-mcp skill zip claude # Claude app: upload the .zip in its Skills settings
Then start a new session in the agent. sw-mcp serve keeps skills it installed up to date after each client update; a SKILL.md you wrote yourself is never replaced.
| Command | |||
|---|---|---|---|
| `swctl admin project create | list | delete NAME` | manage projects |
| `swctl admin secret set | get | delete PROJECT NAME` | values read from a prompt or stdin |
swctl admin secret list PROJECT | names only | ||
swctl admin token create PROJECT --name N [--expires-days D] [--allow-ip ADDR]... | prints the token once; --allow-ip (address or CIDR, repeatable) pins where it may connect from | ||
| `swctl admin token set-ips ID --allow-ip ADDR... \ | --any` | replace or remove a token's allowed addresses | |
swctl admin token list [PROJECT] | status, expiry, last used, last IP, allowed addresses, approval | ||
| `swctl admin token create ... --approval session\ | every_fetch [--session-ttl 8h] [--channel C]...` | require a person to approve the token's use (see below) | |
| `swctl admin token set-approval ID --approval none\ | session\ | every_fetch [...]` | change or remove it; ends pending requests and approved sessions |
swctl admin token reset-approval-limits ID | let a token that hit its hourly limit ask again now (also in swadmin: Reset approval limit…) |
| swctl admin approvals list / approve ID [--match NN] / deny ID | decide pendi