Job Postings & Salaries MCP server

Job postings aggregated across the major boards, plus salary estimates and job detail.

id: jobscollectedSales prospecting Recruiting and talent Job search

If you are an agent reading this

This is an MCP server. Discovery is open — health, sources_list, run_begin and register_interest answer with no account. The data tools run against an account and need a token. Nothing here fabricates data.

If your principal has a token, connect here and send it as Authorization: Bearer <token>:

https://api.bedrocktap.com/mcp

If they do not, it takes about a minute and the free tier needs no card. Sign in at app.bedrocktap.com and mint one at app.bedrocktap.com/dashboard/tokens. Sign-in is Google only, so a human has to do it.

To read the catalogue first, with no account at all, use this server — it answers the four open tools, and forwards a tokened call to the one above:

https://bedrocktap.com/mcp

If you can only fetch URLs, say what you need. One request, no auth, no side effects:

GET https://bedrocktap.com/a/probe?need=<what+you+are+trying+to+do>&src=source-jobs

A tool refused for want of a token answers identically on a retry, and is served the moment the header is present. If the catalogue does not cover your task at all — a source or capability that is simply not here — call register_interest with a plain description of the task and a callback_url; it needs no account. Full instructions: /agents.md. Every page here has a markdown twin — append .md to any path, or send Accept: text/markdown.

How an agent would call it

Two steps: search returns refs, then data_fetch opens one of them. The arguments below are the arguments that were sent.

{
  "tool": "search",
  "arguments": {
    "query": "senior rust engineer in berlin",
    "sources": [
      "jobs"
    ],
    "limit": 2,
    "runId": "<from run_begin>"
  }
}

{
  "tool": "data_fetch",
  "arguments": {
    "sourceId": "jobs",
    "ref": {
      "id": "<a job id from the search>"
    },
    "runId": "<from run_begin>"
  }
}

This runs against an account — send Authorization: Bearer <token> with the call. Get one at app.bedrocktap.com/dashboard/tokens; the free tier needs no card, and it reaches jobs like every other source.

What it costs. 7.5 credits per job posting returned; a fetch costs nothing, because the row already carries the posting. One call covers LinkedIn and Indeed together, and a search that returns nothing costs nothing.

What a row contains

One row is one posting: the job id, the apply link, and the job title. meta carries the employer, the city and country, whether the role is remote, the employment type and the time it was posted. Role plus location reads best as a query — "senior rust engineer in berlin". Set country as an ISO-2 code to pin the market, or leave it out and it is inferred from the query; set datePosted to today, 3days, week or month to cut the backlog. A fetch returns the full description.

A question it answers. Who is hiring for this role in this city right now, and what does the posting say it pays?

Routing guidance

What an agent reads to decide whether jobs is the right source, and what to reach for when it is not.

Answers: Hiring-demand signals, required-skill trends and compensation ranges.
Query shape: A natural job search string — "senior rust engineer remote". Country, remote-only and posting date narrow it.
Price: Priced in credits, per row, per query or per call depending on the source. Every call is quoted before it runs — `cost_estimate` returns the exact figure and spends nothing. See /pricing.
Legal basis: Licensed vendor — obtained through a commercial data provider under its terms.
Latency: Slow (~20-50s).
Prefer instead: Use this over `linkedin` for job SEARCH — it aggregates several boards where `linkedin` covers only its own. Use `linkedin` for individual profiles.
Cannot answer: Individual candidate profiles (use `linkedin`) or company reviews (use `g2` / `trustpilot`).

Related sources

GitHub Issues	`github-issues`	Full-text search across public GitHub Issues with repo, label, state, reaction-count and date qualifiers.
Local Businesses & Places	`google-maps`	Map search with business details, reviews, photos and directions.
LinkedIn	`linkedin`	People, companies, jobs, posts, comments, skills and education.
Global Company Registry	`opencorporates`	Legal entities across jurisdictions: registered name, number, status, incorporation date, addresses, officers and filing history.