Employed by Guaq AI MCP Server

by guaqai-jobs Your server? Claim it

answering

Employed by Guaq AI is answering right now. Last checked 12 min ago. 90 installs a week from npm. Last commit 13 Oct 2026.

Live jobs from ~5,000 employer ATS boards, hiring profiles, your job profile and tracker.

Installs per day peak 156 · avg 19 · -30% w/w

a month agotoday

Uptime history 27 days of history · worst day 43%

27 days agonow

50.5%

Uptime 24h

46 of 91 checks

—

Tools

hidden behind auth

981 ms

Response time

average over 24h

Installs / week

npm and PyPI

What the code does

We read the source, 3 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

File ships in the package but is absent from the source [пакет] bin/_run.js:1, [пакет] bin/cli.js:1, [пакет] bin/mcp.js:1 и ещё 3

этот файл ставится пользователю, но в репозитории его нет

Package points at a different repository guaq-ai/employed-plugins

пакет employed-mcp ссылается на buddywhitman/resume-cv

Runs an external command [пакет] bin/_run.js:18

    const probe = spawnSync(cmd, ["--version"], { stdio: "ignore" });

Builds a file path from a variable [пакет] bin/_run.js:35

  let scriptPath = path.join(__dirname, "..", "py", scriptName);

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 12 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add employed --transport http https://jobs.guaqai.me/mcp

Settings → Connectors → Add custom connector, then paste this address

https://jobs.guaqai.me/mcp

~/.codex/config.toml

[mcp_servers.employed]
url = "https://jobs.guaqai.me/mcp"

.cursor/mcp.json

{
  "mcpServers": {
    "employed": {
      "url": "https://jobs.guaqai.me/mcp"
    }
  }
}

.vscode/mcp.json

{
  "servers": {
    "employed": {
      "type": "http",
      "url": "https://jobs.guaqai.me/mcp"
    }
  }
}

This endpoint answered with an authorization challenge. The server is running, and it signs you in through your browser: there is no API key to paste.

Endpoints

URL	Transport	State	Latency	Checked
https://jobs.guaqai.me/mcp	streamable-http	sign-in	955 ms	12 min ago

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Employed by Guaq AI — questions

Answers built from our own checks of this server.

Why is there no tool list for Employed by Guaq AI?

The server answered our handshake with an authorization challenge, so it is running — but it will not describe its tools to an anonymous client. To see them you need to connect with your own credentials. We record it as alive, not as broken: 50.5% of checks in the last 24 hours got a reply.

Is Employed by Guaq AI working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 46 of 91 checks got a reply (50.5%), average response time 981 ms. The bar chart above shows every period we have measured.

How do I connect Employed by Guaq AI?

Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address. You sign in through your browser once and the client keeps the session: no key to copy, and it refuses anonymous clients.

How do you sign in to Employed by Guaq AI?

No API key is involved. Employed by Guaq AI answers our knock with an OAuth challenge, so you authorise it once in your browser and the client keeps the session. That is also why we see no tool list: it will not describe itself to an anonymous client, and that is the server working as intended, not a fault.

How fast is Employed by Guaq AI?

It answers our handshake in 981 ms on average, which is faster than 4% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

How many people use Employed by Guaq AI?

The npm package employed-mcp was installed 90 times in the last week. Week over week that is -30%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.

Is Employed by Guaq AI open source?

The code is open source: it is published under the MIT licence and 0 stars on GitHub. The licence covers the code in the repository, not the hosted service at jobs.guaqai.me, which runs on its operator's own terms.