Resume Booster Job Board

Last 30 days

Uptime

100%

Response time

365 ms typical, 376 ms slowest 5%

Last check

8 h ago

Next check

any minute now

How to call it

Add it to any MCP client that supports remote servers.

{
  "mcpServers": {
    "resume-booster-job-board": {
      "type": "http",
      "url": "https://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp"
    }
  }
}

15 tools

• search_jobs

  Search the live job board (postings pulled directly from employers' own hiring systems, 30-day freshness cap; board_stats carries the live totals). Returns compact job cards — including the board's own parsed pay (salaryMinAnnual/salaryMaxAnnual/salaryPeriod), experience band and

• get_job

  Full detail for one job id (from search_jobs), including the complete description text and when the employer's feed last confirmed it open. A resumebooster.work/jobs?job=<id> link's id is this argument (and fetch's, check_apply_support's and request_application's). For several id

• get_jobs

  Full detail for up to 10 job ids in ONE call — the shortlist form of get_job. Each id answers with a card plus its description; ids that closed, aged out or were never on this board come back in `unavailable` with the reason named, so one dead id never costs you the other nine. S

• check_jobs_open

  Are these postings still on the board? Answers up to 200 ids in one call — the tool for re-verifying a saved shortlist before acting on it, instead of spending a metered get_job per posting. Returns open:{id:boolean} plus the closed ids, and names the basis of the answer: it read

• check_apply_support

  Whether the apply agent can submit an application for this job on the user's behalf, and what that requires. Jobs on non-supported systems still return their direct applyUrl for the human to use. For whether THIS KEY may apply at all, call key_status — this tool answers about the

• request_application

  Ask the board's apply agent to submit an application to this job on behalf of the key's owner. Needs an account key (mint one at https://resumebooster.work/agents), an active Agent plan OR a live Agent Pass on the account, and a mandate set in Account — call key_status first: it

• application_status

  Status of applications the key owner's agent has requested — queued, submitted, refused (with the refusing gate named), or failed. Needs a key or a sign-in.

• fit_resume

  Score a résumé against open jobs, for an agent holding a CV: reads the occupation out of resumeText (or uses `query` if given), searches the board for it, and scores up to 20 results 0-100 with the matched and missing terms per job. PAID — needs a paid API key, exactly like POST

• board_stats

  Live board statistics from cache (cheap to call): servable and tracked posting totals, the count of company job boards with open roles (boards, not employers — one employer can run several), the category set, freshness stamp. Answers with no key too, with a withKey block saying w

• employer_hiring_record

  For each employer handle (companyToken, up to 20 per call), that employer's own record on this board: open_roles now, closed_90d (takedown events we watched on this board in the last 90 days, re-lists excluded — one posting that came back and came down again counts each time), su

• employer_growth

  Did this employer's board serve more roles than it did 7 days earlier? One row per companyToken (up to 20 per call), judged by the board itself from our own daily observation and passed through untouched: grew, no-growth, or unknown — and unknown ALWAYS carries unknown_reason (a

• key_status

  What THIS key is and may do: tier, requests left this minute, calls left today (both including this call), whether fit_resume (and engine=ranked on the data API) answers on it, and whether the apply tools would — with any blocker named: account link, Agent plan or live pass, mand

• debug_search

  Explain WHY a search returns what it does — the board's own decision trace merged with the run's outcome. Shows the parsed query (terms, exclusions, intent-lifts, alias expansions), which filters were applied vs IGNORED and why, the route and retriever chosen, the ranking regime

• search

  An ALIAS of search_jobs in the fixed shape ChatGPT's deep-research and company-knowledge connectors call: one query string in, {results:[{id,title,url}]} out. Every result's id is the job id fetch and every other tool take; url is the employer's own apply page when the board hold

• fetch

  An ALIAS of get_job in the fixed shape ChatGPT's deep-research and company-knowledge connectors call: one id in (from search), {id,title,text,url,metadata} out. text is the posting's full description; metadata carries the job card's structured fields (pay, experience, location, w

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