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HiringCensus

com.hiringcensus/hiring-census
Business & Betrieb Daten & Analytik Öffentlich und erreichbar MCP 2026-07-28

Was dieses MCP kann

Analyzes employer job boards, hiring activity, posting freshness, market statistics, and changes across companies.

Funktionen

Tools

6 Tools
check_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.
Eingabeschema 
{'type': 'object', 'required': ['company'], 'properties': {'company': {'type': 'string', 'description': 'Company name'}}}
find_fresh_boards
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.
Eingabeschema 
{'type': 'object', 'properties': {'limit': {'type': 'integer'}}}
find_quiet_boards
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.
Eingabeschema 
{'type': 'object', 'properties': {'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.
Eingabeschema 
{'type': 'object', 'properties': {}}
search_jobs
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.
Eingabeschema 
{'type': 'object', 'properties': {'limit': {'type': 'integer', 'description': 'Max results (default 25)'}, 'query': {'type': 'string', 'description': "Words in the job title, e.g. 'staff backend engineer'"}, 'remote': {'type': 'boolean', 'description': 'Only roles flagged remote'}, 'location': {'type': 'string', 'description': "Any part of the location string, e.g. 'Berlin', 'California'"}, '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'}}}
whats_changed
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.
Eingabeschema 
{'type': 'object', 'properties': {'days': {'type': 'integer', 'description': 'Window, default 7'}, 'limit': {'type': 'integer'}, 'companies': {'type': 'array', 'items': {'type': 'string'}, 'description': 'Company names to watch. Omit for the whole market.'}}}
Verlauf

Letzte Tool-Änderungen

Hinzugefügt
hiring_stats
17. September 2026 12:35
Hinzugefügt
whats_changed
17. September 2026 12:35
Hinzugefügt
find_fresh_boards
17. September 2026 12:35
Hinzugefügt
find_quiet_boards
17. September 2026 12:35
Hinzugefügt
check_company
17. September 2026 12:35
Hinzugefügt
search_jobs
17. September 2026 12:35
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