Job Search

Overview

Job Search keeps its own index of the open jobs on public company career boards, refreshed through the day, so a search never waits on a company's website. Every job has the same shape whichever company posted it. Keyword search matches every word you give against the job title, with plurals and accents folded, so data engineers finds Senior Data Engineer. Results are newest first; pass a job's id to get its full description on a paid plan.

Live Test Job Search Source →

The tool

Once your client is connected to the VerveContext server, this appears in its tool list as JobSearch. It is read-only and open-world — it fetches and never mutates anything on your side — so most clients call it without asking you to confirm.

{
  "name": "JobSearch",
  "arguments": {
    "keyword": "software engineer"
  }
}

You do not name the tool yourself; the model picks it. Asking about software engineer in the terms this source covers is enough for it to reach for JobSearch on its own — naming it explicitly also works, and is the way to force the call.

Connecting

One server URL covers every source in the catalog, including this one. Authorization is OAuth: the client opens a browser once, and there is no key to paste into a config file.

{
  "mcpServers": {
    "vervecontext": {
      "url": "https://api.vervecontext.com/v1/mcp"
    }
  }
}

https://api.vervecontext.com/v1/mcp

Per-client setup — Claude, Cursor, VS Code, ChatGPT — is on the MCP setup page.

Arguments

These are the properties on the tool's inputSchema, so a well-behaved client validates them before the call is made. Premium arguments are accepted on every plan but only take effect on plans that include them.

What the model gets back

The result carries a structuredContent object matching the tool's declared outputSchema, so a client reads fields without parsing prose. status is "ok" and error is null on success; a null field means the value was not available for that input, not that the call failed.

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{
  "status": "ok",
  "error": null,
  "data": {
    "page": 1,
    "count": 2,
    "hasMore": true,
    "jobs": [
      {
        "id": "b4f50cb0115efeef41cb",
        "title": "Senior Network and Cloud Engineer",
        "company": "Acturis",
        "location": "London, England, United Kingdom",
        "locations": [
          "London, England, United Kingdom"
        ],
        "country": "GB",
        "remote": false,
        "workplaceType": "hybrid",
        "employmentType": "full-time",
        "postedAt": "2026-10-14T15:37:26.000Z",
        "url": "https://careers.acturis.com/o/senior-network-and-cloud-engineer",
        "applyUrl": "https://careers.acturis.com/o/senior-network-and-cloud-engineer/c/new",
        "salary": {
          "min": null,
          "max": null,
          "currency": null,
          "interval": null
        }
      },
      {
        "id": "43175a4af41a8c5a9a3b",
        "title": "Senior AI Engineer in Computer Vision",
        "company": "Faktion BV",
        "location": "Antwerp, Vlaams Gewest, Belgium",
        "locations": [
          "Antwerp, Vlaams Gewest, Belgium"
        ],
        "country": "BE",
        "remote": false,
        "workplaceType": "hybrid",
        "employmentType": "full-time",
        "postedAt": "2026-08-24T13:17:35.000Z",
        "url": "https://talent.faktion.com/o/senior-ai-engineer-in-computer-vision",
        "applyUrl": "https://talent.faktion.com/o/senior-ai-engineer-in-computer-vision/c/new",
        "salary": {
          "min": null,
          "max": null,
          "currency": null,
          "interval": null
        }
      }
    ]
  }
}

Response fields

Paths are relative to data. Premium fields are absent rather than zeroed on plans that do not include them, so check for presence instead of comparing to 0.

Why ground on it

A model can produce something that looks like this answer from its training data, and be confidently out of date or simply wrong. This source returns the current value in a shape you can check, which is the difference between an answer you can cite and one you have to hedge.

Point an evaluation at count: it is the field most worth pinning a claim to, and it is either present and current or absent — never plausibly invented.

Failure modes

Errors come back as tool errors carrying a sentence the model can act on, not a bare status code. Error handling covers the full list.

A call costs 20 credits each time the tool actually runs; a model that reasons about the tool without calling it costs nothing.

Use cases

Job Boards

Niche job sites and aggregators fill their listings by keyword, location and remote filters without integrating each company's careers system.

Job Alerts

Alert services run saved searches with postedSince to send only jobs published since the last run.

Hiring Signals

Sales and investment tools watch which companies are hiring for which roles and where.

Career Tools

Resume and career apps suggest open roles that match a candidate's title and location.

Other ways to use Job Search

Set up Job Search on VerveContext, or reach the same source a different way. Your VerveContext account and credits work on all of them — one key, one balance.

Related

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