JobYap 远程 MCP 服务器是什么?
JobYap 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://mcp.jobyap.com/mcp,AI 助手无需在本地安装或运行任何东西即可连接。
@JobYap
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.
JobYap 的远程 MCP 服务器是一个托管的 Model Context Protocol 端点,地址是 https://mcp.jobyap.com/mcp,AI 助手无需在本地安装或运行任何东西即可连接。
把端点 https://mcp.jobyap.com/mcp 添加到任意支持 MCP 的客户端,比如 Claude Code、Cursor 或 VS Code。本页的接入代码块可以一步配置好每个客户端。
不需要。JobYap 的 MCP 服务器不需要认证——直接用端点地址连接即可。
JobYap 暴露的是 Streamable HTTP 端点,这是远程 MCP 服务器普遍使用、主流客户端都支持的传输方式。
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