原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
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Jobverify

作者:yessGlory17版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.yessGlory17/jobverify

安装

概览

作者提供的说明(英文原文)

Detect fake-recruiter and job-offer scams using free OSINT. No API keys.

PopNx MCP 的三大支柱

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。

它能帮你做什么

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。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 网络安全

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

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": {
    "jobverify": {
      "command": "uvx",
      "args": [
        "jobverify-mcp"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add jobverify -- uvx jobverify-mcp

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "jobverify": {
      "command": "uvx",
      "args": [
        "jobverify-mcp"
      ]
    }
  }
}

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。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "jobverify": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "jobverify-mcp"
      ]
    }
  }
}

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。

它能做什么

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。

基础检查i

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

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 yessGlory17 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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“网络安全”中的其他服务器比较i

  • 星标数多于此分类中其他 994 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 994 个服务器的 25% 更新
  • 基础检查结果等于或优于此分类中其他 994 个服务器的 100%

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。

常见问题

Jobverify 安全吗?

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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.1.0)于4个月前进入注册中心。

哪些应用可以使用它?

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)。

有什么可以替代它?

同一分类中有:SML Risk Firewall, ipdata MCP by usefulapi, MaxMind minFraud MCP by usefulapi

替代选择

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

SML Risk Firewall

作者:scriptmasterlabs.com

Pre-trade risk checks for agent trades: orders vs your limits, signed receipts.

在云端运行今天更新
安装

Look up location, network, company and threat data for IP addresses and ASNs in ipdata.

在云端运行今天更新
安装

作者的 README

打开 README

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。

Check whether a recruiter or job offer is real — before you reply.


You get a message: *"We loved your profile and want to offer you a great remote job."* It sounds real. The company has a logo. The recruiter has a photo. But something feels off.

JobVerify helps you find out — in seconds — whether it's genuine or a scam.

You paste the recruiter's message (or a company name, a link, or an email) and ask your AI assistant. JobVerify quietly runs the same background checks a professional investigator would, then gives you a plain-English answer: looks legit, be careful, or this is almost certainly a scam — and *why*.


❌ Without JobVerify

Fake recruiter and job-offer scams are everywhere, and they're convincing. On your own, you're left guessing:

  • ❌ Is this company real, or a name someone invented last week?
  • ❌ Is this "recruiter" a real person, or a stolen photo and a throwaway account?
  • ❌ Is that application link safe, or a look-alike site built to steal your data?
  • ❌ Why are they asking me to pay for equipment, or move the chat to WhatsApp/Telegram?

By the time you notice, your time, your personal details — or your money — may already be gone.

✅ With JobVerify

JobVerify cross-checks the offer against dozens of free, public information sources and combines the clues into one clear verdict:

  • ✅ Tells you if the company is a registered, real business — or nowhere to be found
  • ✅ Spots classic scam scripts (upfront fees, fake "task" jobs, crypto, "let's move off-platform")
  • ✅ Flags suspicious links, look-alike domains, and brand-new websites made to look official
  • ✅ Checks whether the email, phone, and photos actually belong to who they claim
  • ✅ Explains its reasoning in everyday language, so you can decide with confidence

No account, no sign-up, and none of your data is sold or stored. It simply helps you not get fooled.


🕵️ How it works

You don't need to learn anything technical. It's a three-step conversation:

  1. Paste it. Drop the recruiter's message, a company name, a job link, or an email into your AI chat.
  2. It investigates. JobVerify pulls out every detail — the company, links, email, phone, wallet addresses — and quietly checks each one against public records, scam databases, and website history.
  3. You get a verdict. A short, honest summary: how risky it looks, which signals are reassuring, which are red flags, and what to do next.

[!NOTE]

JobVerify never logs into or scrapes LinkedIn. It only looks at information that is already

public, and reads website history through the Internet Archive — the safe, legal way to check

how long a profile or company page has *really* existed (scammers rely on brand-new throwaway accounts).


🔎 What it looks at

Think of it as a checklist a careful friend — who happens to be a fraud investigator — would run for you:

AreaThe question it answers
The messageDoes this match known scam playbooks (advance fees, fake tasks, crypto, urgency)?
The companyIs it a real, registered business? Any recent scam reports? Is the office address real?
The personIs the email real and deliverable? Is the phone valid? Are the photos/usernames reused elsewhere?
The linksIs the domain brand-new? A look-alike of a real brand? On any phishing/malware blocklist?
The moneyIs the crypto wallet they gave you already flagged in scam databases?
The historyHow long has this profile or website *actually* been online?

💬 Example

Ask your assistant something as simple as:

Is this recruiter legit?

"Hi! I'm a talent partner at Example Corp. We loved your profile and want to offer you a remote role at $45/hr. To get started, please purchase $200 of onboarding equipment through this link — you'll be fully reimbursed on day one. Let's continue on Telegram: @examplecorp_hr"

JobVerify will pick out Example Corp, the link, and the Telegram hand-off, check each one, and reply with something like: *"⚠️ High risk — the company has no public registration, the link was registered 4 days ago, and asking you to pay upfront and move to Telegram are textbook scam signals."*


🚀 Getting started

No cloning. No virtualenv. No manual install. JobVerify runs straight from GitHub — you only paste a few lines into your AI assistant's config, and it fetches and launches itself on demand.

[!NOTE]

The only thing you need once is uv — a tiny, free helper that runs

the tool for you:

- macOS / Linux: curl -LsSf https://astral.sh/uv/install.sh | sh

- Windows: powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

Claude Desktop

Add this to your claude_desktop_config.json, then restart Claude:

{

"mcpServers": { "jobverify": { "command": "uvx", "args": ["jobverify-mcp"] } } }

Claude Code

One line in your terminal:

claude mcp add jobverify -- uvx jobverify-mcp

The first run takes a few seconds while it downloads the tool; after that it's instant.

Use it

Paste a suspicious message and ask *"Is this offer legit?"* — or run the built-in `analyze` prompt. That's it.


🔐 Privacy & honesty

  • Your data stays yours. No sign-up, no tracking, nothing you paste is stored or sold.
  • No API keys or costs. Every source is free and open — public business registries, DNS records, scam blocklists, the Internet Archive, and more.
  • Signals, not certainty. JobVerify gives you strong decision support, not a courtroom verdict. Treat the result as informed guidance about a *message* — never as a final judgment about a real person.

For the curious: the full toolbox

Under the hood, the AI assistant orchestrates these individual checks (all free, no keys):

ToolWhat it checks
extract_entitiesPulls emails, links, phones, wallets, and profile URLs out of a message
check_scam_patternsMatches text against known scam tactics
check_email / check_email_footprintEmail deliverability + linked social accounts
check_domain / check_domain_authDomain age, registrar, and whether it can be spoofed
check_typosquatting / find_lookalike_domainsLook-alike / imposter domains
check_url / check_ipPhishing & malware blocklists
check_certificate_transparencyA site's certificate & subdomain history
parse_email_headersOrigin, SPF/DKIM/DMARC, and mismatches in raw email headers
check_phonePhone number validity and region
check_crypto_addressKnown-scam crypto wallet databases
verify_company / search_company_news / verify_addressBusiness registration, press, and real address
check_github_org / check_usernameWhether an org/username really exists and how old it is
check_wayback / fetch_archived_pageInternet Archive history & content (the legal way to read a page)

There's also a single `analyze` prompt that runs the whole extract → check → verdict flow for you.


⚠️ Disclaimer

JobVerify is a decision-support tool. Its signals are probabilistic and may be incomplete or wrong. Always use your own judgment, and never treat a result as a definitive statement about any individual or organization.

License

MIT — use it, share it, and help people stay safe.

问 PopNx