MCP server

Resume Booster Job Board Official

work.resumebooster/jobs

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

resumebooster.work (verified by the MCP Registry)

Status

Working at last check

Tools

15

Token cost

About 5,875 tokens per request

Sets up in

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

Last checked

26 Oct 2026, 08:29 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://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp

Claude Desktop

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

Codex (config.toml)

[mcp_servers.jobs]
url = "https://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp"

Gemini CLI

{"mcpServers":{"jobs":{"httpUrl":"https://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp"}}}

Cursor

{"mcpServers":{"jobs":{"url":"https://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp"}}}

VS Code

{"servers":{"jobs":{"type":"http","url":"https://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp"}}}

Antigravity

agy mcp add jobs https://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-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://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"jobs","server_url":"https://bwhdazbotpblihdxcmho.supabase.co/functions/v1/agent-mcp"}

Tools

• application_status ~94 tokens
  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.
• board_stats ~111 tokens
  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 what a free key adds.
• check_apply_support ~132 tokens
  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 job, not the key. N
• check_jobs_open ~240 tokens
  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 reads the board's index
• debug_search ~1333 tokens
  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 (ranked/ring-merged/
• employer_growth ~374 tokens
  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 feed bigger than one
• employer_hiring_record ~582 tokens
  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), superseded_90d (the re
• fetch ~190 tokens
  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, workMode, postedAt, c
• fit_resume ~317 tokens
  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 /v1/fit on the data
• get_job ~179 tokens
  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 ids at once, use get_j
• get_jobs ~246 tokens
  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. Set includeDescriptio
• key_status ~176 tokens
  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, mandate, résumé on file.
• request_application ~340 tokens
  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 says which of the th
• search ~206 tokens
  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 holds one, else the post
• search_jobs ~1355 tokens
  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 minYears, so pay an

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