mcpbeat

JobYap Job Search MCP Server

com.jobyap/jobs
answering

JobYap Job Search is answering right now. Last checked 15 min ago. 144 installs a week from npm. It exposes 8 tools. Last commit 2 Aug 2026.

Search job postings aggregated from companies' careers sites, plus each job's discussion thread.

The linked repository no longer exists on GitHub — it was deleted or made private.

Installs per day peak 123 · avg 4
a month agotoday
Uptime history 42 hours of history
42 hours agonow
100.0%
Uptime 24h
91 of 91 checks
8
Tools
read from the server
249 ms
Response time
average over 24h
144
Installs / week
npm and PyPI

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 15 min ago.

run in your terminal
claude mcp add jobs --transport http https://mcp.jobyap.com/mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "jobs": {
      "url": "https://mcp.jobyap.com/mcp"
    }
  }
}
~/.codex/config.toml
[mcp_servers.jobs]
url = "https://mcp.jobyap.com/mcp"
.cursor/mcp.json
{
  "mcpServers": {
    "jobs": {
      "url": "https://mcp.jobyap.com/mcp"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "jobs": {
      "url": "https://mcp.jobyap.com/mcp"
    }
  }
}

Available tools 8

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

job
get_job
Fetch one job posting in full: markdown description, salary ranges, locations with work mode, derived employment types, apply URL, posting dates and the canonical JobYap discussion URL. Works for expired jobs too (apply_url is null once inactive).
get_job_comments
Fetch the community discussion thread for a job: chronological, threaded via parent_id, with like counts. Comments are user-generated content. Threads stay open after a job expires.
get_job_stats
Aggregate stats: companies tracked, active job count, and the newest posting date.
companies
list_companies
List every company JobYap tracks with its active job count. Use the exact names as search_jobs company filters.
fetch
fetch
Retrieve the full JobYap document for a search result id: the complete posting as markdown (description, salary, locations, apply link) plus top community comments, with a citable URL.
jobs
search_jobs
Search JobYap's aggregated job postings with structured filters. The text query matches job titles only (case-insensitive substring) — try synonyms or shorter tokens when results are thin. Company names must exactly match values from list_companies; locations must be identifiers from search_locations. work_mode matches jobs explicitly marked remote or hybrid (unmarked means unstated, not onsite). Results are active listings, newest first by default; sort=popular ranks by discussion activity. To paginate, pass next_cursor back as cursor and keep every other argument identical.
locations
search_locations
Resolve a free-text place name ("bay area", "Germany", "berlin") to the location identifiers search_jobs accepts (country-XX, state-XX-YY, city-XX-YY-name). Only places that appear in current job data are returned.
search
search
Search JobYap job postings by natural-language query. Matches job titles, falling back to significant keywords when the full phrase finds little. Returns result ids, titles and citable URLs for use with fetch. For structured filtering (location, company, remote, freshness) prefer search_jobs.

Endpoints

URLTransportStateLatencyChecked
https://mcp.jobyap.com/mcp streamable-http answering 324 ms 15 min ago

JobYap Job Search — questions

Answers built from our own checks of this server.

What can JobYap Job Search do?
It exposes 8 tools, read directly from the server on our last check. Among them: fetch, get_job, get_job_comments, get_job_stats, list_companies, search and 2 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is JobYap Job Search working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 249 ms. The bar chart above shows every period we have measured.
Is JobYap Job Search still maintained?
The linked repository no longer exists on GitHub — it was deleted or made private. We show this because it changes what you can expect: an unmaintained server may keep answering for months and then stop without warning.
How do I connect JobYap Job Search?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does JobYap Job Search need an API key?
No. JobYap Job Search completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 8 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is JobYap Job Search?
It answers our handshake in 249 ms on average, which is faster than 53% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
How many people use JobYap Job Search?
The npm package jobyap-mcp was installed 144 times in the last week. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is JobYap Job Search open source?
Yes — it is published under the MIT licence, written in JavaScript and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.