MCP server

JobYap Job Search Official

com.jobyap/jobs

Checked 28 Oct 2026, 09:03 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

jobyap.com (verified by the MCP Registry)

Status

Working at last check

Tools

9

Token cost

About 2,660 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

28 Oct 2026, 09:03 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http jobs https://mcp.jobyap.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.jobs]
url = "https://mcp.jobyap.com/mcp"

Gemini CLI

{"mcpServers":{"jobs":{"httpUrl":"https://mcp.jobyap.com/mcp"}}}

Cursor

{"mcpServers":{"jobs":{"url":"https://mcp.jobyap.com/mcp"}}}

VS Code

{"servers":{"jobs":{"type":"http","url":"https://mcp.jobyap.com/mcp"}}}

Antigravity

agy mcp add jobs https://mcp.jobyap.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"jobs","server_url":"https://mcp.jobyap.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"jobs","server_url":"https://mcp.jobyap.com/mcp"}

Tools

• fetch ~127 tokens
  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.
• get_job ~177 tokens
  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 ~161 tokens
  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 ~66 tokens
  Aggregate stats: companies tracked, active job count, and the newest posting date.
• list_companies ~82 tokens
  List every company JobYap tracks with its active job count and JobYap company-page URL. Use the exact names as search_jobs company filters.
• match_jobs ~1060 tokens
  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,
• search ~146 tokens
  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.
• search_jobs ~648 tokens
  Search 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),
• search_locations ~193 tokens
  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

Browse

• Converting to Markdown
• Hiring and jobs

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