HiringCensus

Is this company actually hiring, or is the board just still up? Real dates on 187,923 roles.

Sollte ich dies verwenden

Qualität und Sicherheit

A
Qualität der Beschreibung
100%
Vollständigkeit des Schemas
74%
Qualität der Benennung
93%
Risiko der Vergiftung
100%
Übereinstimmung der Berechtigungen
100%
Einhaltung des Protokolls
100%

Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.

Kontextkosten

~796Tokens (Tool-Definitionen)
~638 BTypische Antwortgröße
Mittlere Auswirkung auf die Aufmerksamkeit (0.62% von 128k Kontext)

Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.

Installieren

Installation mit einem Klick

Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:

{
  "mcpServers": {
    "hiring-census": {
      "url": "https://hiringcensus.com/api/mcp"
    }
  }
}

Remote-Endpunkte

https://hiringcensus.com/api/mcpstreamable-http

Was es kann

Tool-Inventar

Tools (6)

🟢 Nur lesen🟡 Schreiben🔴 Löschen⚪ Unbekannt
🟡search_jobs(query, location, remote, department, technology, ...)

Search open job postings read directly from employers' own Greenhouse, Ashby and Lever boards. Unlike a job board, every result carries the employer's real publish date and age in days, so you can tell a role posted this morning from one that has been open two years.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "query": {
      "type": "string",
      "description": "Words in the job title, e.g. 'staff backend engineer'"
    },
    "location": {
      "type": "string",
      "description": "Any part of the location string, e.g. 'Berlin', 'California'"
    },
    "remote": {
      "type": "boolean",
      "description": "Only roles flagged remote"
    },
    "department": {
      "type": "string",
      "description": "Function, e.g. 'Engineering', 'Sales'"
    },
    "technology": {
      "type": "string",
      "description": "Technology named in the posting, e.g. 'Python', 'Kubernetes'"
    },
    "max_age_days": {
      "type": "integer",
      "description": "Only roles posted within this many days"
    },
    "min_age_days": {
      "type": "integer",
      "description": "Only roles OLDER than this many days -- use to hunt stale listings"
    },
    "limit": {
      "type": "integer",
      "description": "Max results (default 25)"
    }
  }
}
🟢check_company(company)

Ask whether a company is ACTUALLY hiring, not just whether it has jobs listed. Returns a verdict on the board -- actively_hiring, still_open, gone_quiet or likely_abandoned -- with the age of the newest posting, the median role age, and how many reqs have sat open over 90 days and over a year. This is the check that tells you whether an application or a sales approach is worth the time.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "company": {
      "type": "string",
      "description": "Company name"
    }
  },
  "required": [
    "company"
  ]
}
🟢find_quiet_boards(limit)

Companies still advertising open roles while having posted nothing new in over six months. Strong evidence of a board nobody tidied up after the hiring finished. Useful for striking dead accounts off a prospect list, or for avoiding applications that will never be read.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer"
    }
  }
}
🟢find_fresh_boards(limit)

Companies where EVERY currently open role was posted in the last 30 days -- no backlog of applicants ahead of you, and usually a team that just started hiring. For sales, a company that just opened its first roles in a function is one whose budget has recently moved.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "limit": {
      "type": "integer"
    }
  }
}
🟢whats_changed(companies, days, limit)

What actually MOVED, on a list of companies you name or across the whole record. Answers the question a person with a book of accounts has every morning: which of mine changed, and is anyone suddenly ramping? Returns NET movement, because a company that opened 342 roles and closed 317 is churning and one that opened 261 and closed 41 is hiring -- and flags a board whose VERDICT flipped, which is a budget unfreezing and the strongest signal in this data.

Eingabe-Schema

{
  "type": "object",
  "properties": {
    "companies": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Company names to watch. Omit for the whole market."
    },
    "days": {
      "type": "integer",
      "description": "Window, default 7"
    },
    "limit": {
      "type": "integer"
    }
  }
}
⚪hiring_stats

Market-level hiring numbers measured this morning across every board we read: employers hiring, open roles, how many went up in the last 24 hours, how many have been open over 90 days and over a year, how many boards have gone quiet, and the most in-demand technologies.

Eingabe-Schema

{
  "type": "object",
  "properties": {}
}

Community

Diesen Server bewerten

Nachweis

Aktuelle Beobachtungen

verifiziertVersion nicht aufgezeichnet6 Tools
verifiziertVersion nicht aufgezeichnet6 Tools