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openroles

by aranculletonversion 0.4.0i★ –iRuns on your computer
Registry nameio.github.aranculleton/openroles

Install

Overview

Description from the maker (original English)

Open roles from employers' own job boards: Greenhouse, Lever, Ashby, Workday and 12 more.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "openroles": {
      "command": "uvx",
      "args": [
        "openroles",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add openroles -- uvx openroles mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "openroles": {
      "command": "uvx",
      "args": [
        "openroles",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "openroles": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "openroles",
        "mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account aranculleton, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 32433 servers in this category
  • Published to the registry more recently than 75% of the other 32433 servers in this category
  • Basic checks equal to or better than 100% of the other 32433 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is openroles safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.4.0) reached the registry 11 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

openroles

Every open role, straight from the employer's own careers system. Fifteen applicant tracking systems (Greenhouse, Lever, Ashby, Workday, Workable, Teamtailor, Personio, Recruitee, Rippling, JazzHR, Gem, Polymer, Manatal, Homerun and ClearCompany), plus any careers site that publishes its jobs for search engines, in one shape. Read from the feeds and APIs the employers' own careers pages use: no API key, no account, no scraping service, and nothing but the Python standard library.

$ pip install openroles

$ openroles figma --query data --limit 3 2026-09-23 Data Engineer Intern (2027) San Francisco, CA • New York, NY https://boards.greenhouse.io/figma/jobs/6178851004?gh_jid=6178851004 2026-09-21 Data Platform Engineer San Francisco, CA • New York, NY • Unite https://boards.greenhouse.io/figma/jobs/6201407004?gh_jid=6201407004 2026-09-21 PhD Intern, Data Science (2027) San Francisco, CA • New York, NY https://boards.greenhouse.io/figma/jobs/6200626004?gh_jid=6200626004

3 open role(s)

Give it a company name, a careers page, a board URL or ats:token. It finds the board, reads every open role, and gives you the same fields whichever system the employer uses.

Why

Job sites miss roles, show them late, and repost them stale. The employer's own board is the source: it is complete, current, and carries the real apply link. Most applicant tracking systems publish that board as JSON, RSS or XML for the employer's own careers page. openroles reads it the same way, politely, and puts every system that allows it behind one function.

Install

pip install openroles          # or: uvx openroles <company>

Python 3.9 or newer. No dependencies.

Command line

openroles linear                                   # every open role at Linear

openroles https://jobs.ashbyhq.com/linear # the same, from the board URL openroles lever:zoox --query "data" --since 14 # title words, posted in the last 14 days openroles figma --location "New York" # filter by place (--remote for remote only) openroles https://adobe.wd5.myworkdayjobs.com/external_experienced \ --query "data scientist" --details # Workday, with each posting's description openroles detect "Figma" # which ATS, and the board's token openroles hosts greenhouse:figma lever:zoox # the hosts to allow in a network policy openroles personio:acme # any system, as ats:token openroles careersite:careers.acme.example # a careers site with no job API openroles linear --json > roles.json # JSON (the default when piped), or --jsonl openroles linear --cache ~/.cache/openroles # an unchanged board sends nothing next run

Python

import openroles

openroles.detect("Figma")

[Board(ats='greenhouse', token='figma'), Board(ats='ashby', token='figma')]

jobs = openroles.fetch("greenhouse:figma", query="data", location="New York") for job in jobs: print(job.posted, job.title, job.location, job.url)

job.to_dict() # plain JSON-ready dict

openroles.hosts("personio:acme")

['acme.jobs.personio.de', 'acme.jobs.personio.com']: what a firewall must allow

openroles.job_id("https://www.acme.example/careers/?gh_jid=4012345")

'gh-4012345': the same id fetch() gives that posting, from its address alone

job_id is for matching one posting found in two places, read from the employer's board and linked from a job site. It reads Greenhouse (any page with gh_jid too), Lever, Ashby, Rippling, Workable, Personio and Workday addresses, fetches nothing, and gives "" for an address that does not carry the system's own posting id. One Workday case is ambiguous: a listing that sends its path already percent-encoded ("M%C3%BCnchen") gives the same address as one that sends it plain ("München"), and job_id reads it as the plain one.

fetch() raises openroles.BoardError when a board cannot be read (a wrong token, no answer), and openroles.RobotsDisallowed when the host's robots.txt says no.

In your own application

openroles is a library first: the CLI and the MCP server are thin layers over fetch and detect. An application that embeds it names itself once, at start-up:

openroles.configure(

user_agent="acme-jobs/1.0 (+https://acme.example/contact)", # sent with every request robots_agents=["acme-jobs"], # a Disallow for your agent stops a read too cache_dir="~/.cache/acme-jobs/openroles", # optional: keep answers between runs )

With cache_dir, each board's last answer is kept with the ETag or Last-Modified date the board sent, and the next run asks with them: a board that honours them and has not changed answers 304 Not Modified and sends nothing, and the kept copy is read instead. An answer that came with a Last-Modified date and no ETag is asked about that way for at most a day (MODIFIED_MAX_AGE in openroles._http, 24 hours) after it was last read in full, and then read in full once, so a host whose date does not move when its data does holds a board back a day at most; the same holds within one run, with or without a folder. Every read still asks the board. It is off by default. An answer is kept only when it is a GET, is not marked no-store, and shows that all of it arrived: all of its Content-Length, every chunk of a chunked answer, or a gzip stream to its end. One that gives no length and is neither chunked nor gzipped ends when the connection closes, cut short or not, so it is read in full every time. Kept answers are in owner-only files, for 30 days unused, and about 500 MB of them: each process keeps the folder to that, so two processes writing to one folder at once (a long-running application and a command-line run, say) can take it past that until one of them next looks at the whole folder: when it starts using it, at least once an hour while it does, and whenever what it has written itself passes the cap.

Everything a search decides for itself stays a parameter: query, location, remote, since_days, country, and details, which can be a function that says which postings are worth a request for their description. report={} comes back filled with what failed on each board. openroles.robots_allows(host, paths) answers the same robots.txt question openroles asks itself, for anything else your application fetches.

For AI agents (MCP)

openroles mcp is a Model Context Protocol server over stdio, so Claude, Cursor and other agents can look up any employer's open roles themselves. Two tools: find_job_board and list_open_roles (descriptions left out unless asked for, to keep answers short).

Claude Code:

claude mcp add openroles -- uvx openroles mcp

Claude Desktop, Cursor and other clients (mcpServers in their config):

{

"mcpServers": { "openroles": { "command": "uvx", "args": ["openroles", "mcp"] } } }

There is also llms.txt, a short brief for a model that has to use the library or the CLI.

What you get

Every role, from every system, has the same fields:

Field
idstable across runs: a prefix for the system (gh-, lv-, ab-, wd-, ...) plus its own id
ats, boardwhere it came from, e.g. greenhouse, figma
title, urlthe role and its apply page
location, locationsevery location the posting lists, joined and as a list
workplaceremote, hybrid, onsite, or "" when the board does not say
remoteTrue, False, or None when the board does not say (hybrid is None)
postedYYYY-MM-DD, first published (not last edited) where the system says; see below
department, employment_typewhere the board provides them
compensationthe posted pay band, where the employer publishes one, as the board words it
salary_min, salary_max, salary_currency, salary_periodthe same band as numbers, its ISO currency code and hour, day, week, month, year or "" (a period such as every two weeks), only where the board publishes them as numbers (Lever, Ashby, Recruitee, Rippling, ClearCompany, careers sites); never read out of a description
deadlinewhere the board provides one
descriptionplain text: HTML removed, and with it what no page shows (comments, scripts, hidden elements)

Supported systems

SystemRequestsNotes
Greenhouse1 per boarddescriptions; every office a posting lists counts as one of its locations
Lever1 per boarddescriptions with their requirement lists; EU boards found automatically
Ashby1 per boarddescriptions and posted pay. Ashby publishes no first-posted date, so posted is when the posting was last published
Workday1 per 20 roles, plus 1 per description--query searches the board, reading on while titles keep matching; --country narrows it by whatever facet the board files countries under; --details fetches descriptions, only for roles whose title passes --query
Workable1 per boarddescriptions; no pay. Built from Workable's documentation and not yet run against a live board (its hosts were rate-limiting when it was written)
Teamtailor1 per 100 rolesdescriptions; hybrid and remote; a careers site on the employer's own domain works too
Personio1 per boarddescriptions in English where the employer wrote them; .de and .com accounts
Recruitee1 per boarddescriptions, pay and closing dates. From 10 February 2027 Recruitee asks for each employer's own token, after which a board reads as needing it
Rippling1 per board, plus 1 per descriptiondescriptions and dates come from each posting's own record, fetched only with --details or a --query, at most 80 a board (Rippling allows 100 requests in 10 minutes)
JazzHR1 per boarddescriptions; no date or pay. The feed is regenerated once a day
Gem1 per boarddescriptions; hybrid and remote
Polymer1 per 20 roles, plus 1 per descriptionpay; descriptions as for Rippling, at most 60 a board
Manatal1 per 100 rolesdescriptions; no date
Homerun1 per boarddescriptions and pay, from the feed every Homerun careers page links to
ClearCompany1 per boarddescriptions and pay; the token is the site id the careers page prints. Only its first page is read, with a warning when there is more
Any careers site (careersite)1 per sitemap, plus 1 per job pagereads the schema.org JobPosting each job page carries for search engines (iCIMS and Eightfold sites, among others), at most 40 pages a call, newest first

A Workday posting listed as "3 Locations" reads as its primary location "and 2 more"; with --location on a place that is not its primary, its page is read to see whether the place is one of the others. Workday pages a board only to its first 2,000 roles: past that, a warning says to search with --query.

detect finds a board from a company name (every system but Workday and ClearCompany, by trying the names an employer is likely to use), from any board URL, and from a careers page that links to or embeds one, however the page writes it. A Workday board cannot be guessed from a name: give its URL (either tenant.wdN.myworkdayjobs.com or wdN.myworkdaysite.com/recruiting/tenant). A careers site is never

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