JobYapVerifiedFeatured
@JobYap
About JobYap
JobYap aggregates job postings directly from companies' official careers sites and gives every posting a public discussion thread, with salaries, locations and full descriptions.



Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"jobyap": {
"command": "npx",
"args": [
"-y",
"jobyap-mcp"
]
}
}
}Tools
8Search 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.
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).
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.
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.
List every company JobYap tracks with its active job count. Use the exact names as search_jobs company filters.
Aggregate stats: companies tracked, active job count, and the newest posting date.
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.
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.
Overview
JobYap is a job search engine that aggregates live job postings from companies' official careers sites and attaches a public discussion thread to every listing. Search jobs by title, company, location, remote or hybrid work, and freshness. Each job page includes salary when published, locations, the full description, and community comments.
Built for humans and AI agents. Coding agents in Cursor, Claude, ChatGPT, and VS Code can search jobs, read descriptions, and pull discussion threads through the JobYap MCP server and a public JSON API. No API key and no account.
Job search
- Live openings pulled from official careers pages, not recycled job-board copies
- Filters for keywords, company, location, remote/hybrid, and how recently the job was posted
- Salary ranges, apply URLs, and full job descriptions
- A comment thread on every job for salary talk, interview notes, and team signal
Website: jobyap.com
MCP server
Install with npm. The jobyap-mcp package is a stdio MCP server that bridges to JobYap's job-search tools.
{
"mcpServers": {
"jobyap": {
"command": "npx",
"args": ["-y", "jobyap-mcp"]
}
}
}
Tools: search_jobs, get_job, get_job_comments, search_locations, list_companies, get_job_stats, plus search / fetch for deep-research clients.
The same job data is available as a keyless JSON API at https://jobyap.com/api/v1 and as an Agent Skill in jobyap/agent-skills. Package: jobyap-mcp. Docs: jobyap.com/agents.
Use JobYap when an AI agent needs current job postings, hiring data, and community discussion in one read-only MCP server.
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