JobVerify

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

MCP server No API keys Free OSINT Works with Claude No setup — runs from GitHub

--- 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: | Area | The question it answers | |------|-------------------------| | **The message** | Does this match known scam playbooks (advance fees, fake tasks, crypto, urgency)? | | **The company** | Is it a real, registered business? Any recent scam reports? Is the office address real? | | **The person** | Is the email real and deliverable? Is the phone valid? Are the photos/usernames reused elsewhere? | | **The links** | Is the domain brand-new? A look-alike of a real brand? On any phishing/malware blocklist? | | **The money** | Is the crypto wallet they gave you already flagged in scam databases? | | **The history** | How long has this profile or website *actually* been online? | --- ## 💬 Example Ask your assistant something as simple as: ```txt 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**](https://docs.astral.sh/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: ```json { "mcpServers": { "jobverify": { "command": "uvx", "args": ["jobverify-mcp"] } } } ``` ### Claude Code One line in your terminal: ```bash 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): | Tool | What it checks | |------|----------------| | `extract_entities` | Pulls emails, links, phones, wallets, and profile URLs out of a message | | `check_scam_patterns` | Matches text against known scam tactics | | `check_email` / `check_email_footprint` | Email deliverability + linked social accounts | | `check_domain` / `check_domain_auth` | Domain age, registrar, and whether it can be spoofed | | `check_typosquatting` / `find_lookalike_domains` | Look-alike / imposter domains | | `check_url` / `check_ip` | Phishing & malware blocklists | | `check_certificate_transparency` | A site's certificate & subdomain history | | `parse_email_headers` | Origin, SPF/DKIM/DMARC, and mismatches in raw email headers | | `check_phone` | Phone number validity and region | | `check_crypto_address` | Known-scam crypto wallet databases | | `verify_company` / `search_company_news` / `verify_address` | Business registration, press, and real address | | `check_github_org` / `check_username` | Whether an org/username really exists and how old it is | | `check_wayback` / `fetch_archived_page` | Internet 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.