JobYap aggregates live tech job listings from official company career pages, enabling AI agents to search openings by role, company, location, and remote status, retrieve salary ranges and application links, match jobs to candidate skills, and explore community discussions about salaries and interviews.
The official MCP SDK for TypeScript lets Node and edge services call MCP servers directly, with an API key for headless auth.
This guide connects JobYap MCP to TypeScript through MewCP, so TypeScript can use JobYap MCP's 9 tools, like search_jobs, match_jobs and get_job.
JobYap MCP needs no credentials, but every call still runs through MewCP: scoped, checked and logged like any other.
More apps
Search Dice's tech-focused job database through AI assistants using natural language. Find technology jobs by role, skills, location, remote or hybrid work preferences, salary, visa sponsorship, and posting date. Discover relevant career opportunities and build automated job search workflows with real-time listings and direct application links.
AI-powered job search and application tracking for AI Assistants. Search jobs across major job boards and company career pages, build personalized shortlists, evaluate job fit, tailor resumes and cover letters, and track applications from submission through interviews and offers.
ContactOut helps recruiters and sales teams find professional contact information and build targeted prospect lists. Discover work emails, phone numbers, and professional profiles, search for candidates by role and company, and enrich lead records for recruiting and B2B outreach.
Ploid provides AI agents access to a living index of over 2 billion people, enabling natural-language people search, verified prospect and candidate list building, decision-maker discovery, and evidence-backed person research. Enrich profiles with professional history, social presence, and source-linked information for recruiting, sales prospecting, and market research.
Other clients
JobYap MCP works the same way in every client below. Pick yours for its own guide.
Free to start.
Scope access to the exact JobYap MCP tools and accounts you allow, work and personal side by side. Anything outside that scope is refused at call time, even when the model asks for it.
Each call is logged: what ran, on which account, and whether it worked. Failures come back structured, so the agent knows whether to retry instead of guessing.
Every app sits behind one secure MCP URL, and there is no server for you to deploy or keep running. Add an integration in the dashboard and it is live on the next call, with no config to change and no new credentials to wire up. Tools load only when a task needs them, so your agent stays fast and focused however many apps you connect.
SDK clients sign in with an API key. Create one in your dashboard and replace API_KEY in the code below.
SDK clients run without a browser, so they sign in with your API key. Needs Node 18+ as an ES module (for example npx tsx script.ts).
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), 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.
