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bots.st/resume-booster-job-board

Resume Booster Job Board

Search and fetch job postings from employer systems

4738 ms

answered our call

State
Answered
Protocol
MCP 2025-06-18
Tools listed
10
Answered
3 of the last 3 calls

How to reach it

  • MCP, HTTPhttps://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp

What it can do

ToolWhat it says it does
apply_myselfHelp the person apply to one posting themselves, on the employer's own site. When the employer uses Ashby, Breezy, Greenhouse, Pinpoint or Recruitee, returns the employer's real application form: every question with its options, and who answers it (answeredBy: you, your_details, your_documents, or…
board_statsBoard statistics from a five-minute cache: servable and tracked posting totals, the count of company job boards with open roles (boards, not employers), the category slugs search_jobs takes, and what this connector does not hand on. Answers with no key and is never counted.
check_jobs_openAre these postings still on the board? Up to 50 ids a call with no key, 200 with one: re-verify a saved shortlist before acting on it. Returns open:{id:boolean} and the closed ids, read from the board's index (a closed posting is one the employer's feed stopped listing), not the employer's site at…
employer_growthDid this employer's board serve more roles than 7 days earlier? One row per companyToken (up to 20 a call), judged by the board from our own daily observation and passed through untouched: grew, no-growth, or unknown, and unknown ALWAYS carries unknown_reason (a reading we could not take, never a…
employer_hiring_recordFor each employer handle (companyToken, up to 20 a call), its record on this board: open_roles, closed_90d (takedowns watched in 90 days, re-lists excluded), superseded_90d (re-lists, a floor), two medians from the employer's stated dates (lower bounds), tracking_days and feed_total. A takedown is…
fetchAn 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, workMode, postedAt…
get_jobFull detail for one job id (from search_jobs), with the complete description and when the board last read the employer's feed. A resumebooster.work/jobs?job=<id> link's id is this argument (and fetch's and apply_myself's). For several ids at once use get_jobs. A dead id answers with what the board…
get_jobsFull detail for up to 10 job ids in one call: the shortlist form of get_job. Ids that closed, aged out or were never on this board come back in `unavailable` with the reason, so one dead id never costs the others. Set includeDescription=false for cards and freshness only.
searchAn 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 posting's page on resumebooster.work, where the employer's…
search_jobsSearch the live job board: postings pulled directly from employers' own hiring systems, 30-day freshness cap. Send job titles, skills and places, never CV text; put the place in location, not in query. Returns slim job cards with the board's parsed pay (salaryMinAnnual/salaryMaxAnnual) and…

In its maker's words

Job search over employers' own hiring systems. Search with no key; a free key opens every read tool.

Website
resumebooster.work/agents
Source
github.com/campbellaabbott-rgb/resumebooster-mcp
Publisher
resumebooster.work
Listed from
the official MCP Registry as work.resumebooster/jobs
Version
1.0.0, updated 18 Sep 2026
Kinds of work
Search and research, Sales and marketing

The domain it lives on

resumebooster.work
registered 15 Dec 2025 (11 months ago), at GoDaddy.com, LLC, its home page is a working site

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

WhenWhat happenedTime
Answered4738 ms
Answered3977 ms
Answered1062 ms

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