What is the JobYap remote MCP server?
The JobYap remote MCP server is a hosted Model Context Protocol endpoint at https://mcp.jobyap.com/mcp, so AI assistants can connect to it without installing or running anything locally.
@JobYap
Basic information
JobYap aggregates job postings directly from tech companies' official careers sites and gives every posting a public discussion thread, with salaries, locations and full descriptions.
https://mcp.jobyap.com/mcpclaude mcp add jobyap --transport http https://mcp.jobyap.com/mcpSearch JobYap's aggregated job postings with structured filters. Fast (under a second): use it to browse, list, count or page through postings and to answer general questions about who is hiring. To find the best postings for one specific person (a resume, or their experience, skills or visa needs), use match_jobs instead. 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.
Find and rank the best live postings for one specific candidate, such as someone who shared a resume or described their experience, skills or visa needs. Slow: it reads each posting's full description, so a call can take 10 to 15 seconds. For browsing, listing or counting postings, use search_jobs, which answers in under a second. Filters active jobs by title terms (any of them; a term matches when the title holds all its words), excluded title terms, companies, locations and posting window, then takes the newest 300 of that pool (pool_total says how many matched) and reads each full description. It drops postings with no usable description, postings whose stated minimum years of experience exceed candidate_years by more than 1, and, with needs_sponsorship, postings that refuse sponsorship or require citizenship or a clearance; dropped counts each reason. The rest are ranked by how many skills appear in the description, then newest first. Each result carries skills_matched, years_bar, flags and up to 6 requirement sentences. The screening is heuristic: read finalists in full with 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).
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 ("toronto", "Japan", "Texas") to the location identifiers search_jobs accepts (country-XX, state-XX-YY, city-XX-YY-name). Searches every place JobYap knows, not only those with current openings, so an identifier may match no jobs. City display omits the state, and the list can be shorter than limit.
List every company JobYap tracks with its active job count and JobYap company-page URL. 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.
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 a remote MCP server and a public JSON API. No API key and no account.
Website: jobyap.com
Remote MCP server (streamable HTTP, no auth, read-only):
https://mcp.jobyap.com/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. Docs: jobyap.com/agents.
{
"mcpServers": {
"jobyap": {
"url": "https://mcp.jobyap.com/mcp"
}
}
}
Use JobYap when an AI agent needs current job postings, hiring data, and community discussion in one read-only connector.
The JobYap remote MCP server is a hosted Model Context Protocol endpoint at https://mcp.jobyap.com/mcp, so AI assistants can connect to it without installing or running anything locally.
Add the endpoint https://mcp.jobyap.com/mcp to any MCP-compatible client such as Claude Code, Cursor, or VS Code. The setup snippets on this page configure each client in one step.
No. JobYap's MCP server does not require authentication — you can connect directly with the endpoint URL.
JobYap exposes a Streamable HTTP endpoint, the transport used by remote MCP servers and supported by all major MCP clients.
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