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MCP Lever

by smeet666version 2.1.0i★ –iRuns on your computer
Registry nameio.github.smeet666/mcp-lever

Install

Overview

Description from the maker (original English)

Search public Lever job boards: resolve a company, read its openings, read one in full.

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: Search & AI memory

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

  • npmNode.js installed (for the npx command)

Which app do you use?

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

Download the maker’s .mcpb file

The link goes to the maker’s own file; we do not host or repackage it. Open the file and Claude Desktop installs it.

Run this in your terminal

claude mcp add lever -- npx -y mcp-lever

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "lever": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-lever"
      ]
    }
  }
}

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": {
    "lever": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-lever"
      ]
    }
  }
}

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 8, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account smeet666, 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 Search & AI memoryi

  • More stars than 0% of the other 5668 servers in this category
  • Published to the registry more recently than 81% of the other 5668 servers in this category
  • Basic checks equal to or better than 100% of the other 5668 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 MCP Lever 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 (2.1.0) reached the registry 9 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, MCPB on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

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

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago
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.

mcp-lever

Lever is recruiting software that thousands of companies use to run their hiring, and every customer gets a public job board that comes with it. Each board carries that company's open positions with their title, their location, the team and department they sit in, the commitment they ask for, the full advert, and the salary range where the company chose to publish one. Lever hosts one board per company, on either its global or its European instance, and publishes no index across them.

This server connects a chat client to those boards. You name the companies you are interested in, and it turns each name into the site name that addresses its board, searches their openings, filters them by location, team, workplace type, country, salary or how recently they were posted, reads one opening in full, and lists the wordings each company filters by. It needs no API key and no account.

_Version française_


Install

One-click install

Claude Code

claude mcp add lever -- npx -y mcp-lever

Claude Desktop, Cursor, and any client using the standard config format

{

"mcpServers": { "lever": { "command": "npx", "args": ["-y", "mcp-lever"] } } }

Node 24 or later is required, and no environment variable has to be set.

With Docker
{

"mcpServers": { "lever": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/smeet666/mcp-lever:2.1.0"] } } }

-i keeps stdin open, which is where the protocol travels, and -t is left out because a TTY rewrites the stream. The container needs outbound HTTPS to api.lever.co and api.eu.lever.co, and nothing else: no volume, no port, no credential.

Bundle, without npm

Download mcp-lever-2.1.0.mcpb from the latest release and open it. A client that supports MCP bundles installs it on its own, with no npm and no configuration file to edit. The bundle carries its dependencies, so nothing is fetched at install time.

What you can ask

  • "Which of Included Health, Netlify and Ramp are hiring on Lever?"
  • "Find me remote engineering roles at those three companies."
  • "Read me that opening in full."
  • "What locations does Included Health list its jobs under?"
  • "Anything posted in the last two weeks at Netlify?"

Every question starts from a company, since Lever offers no search across boards. search_jobs resolves the names you give it, so no preparation is needed:

resolve_company(["Included Health"])  ->  includedhealth, global instance, publishing

search_jobs(["Included Health"], keyword: "therapist") get_job("includedhealth", "6f97a19f-…")

Tools

ToolWhat it does
resolve_companyTurns company names into the Lever site names of their boards.
search_jobsSearches the openings of the companies you name.
get_jobReads one opening in full, advert included.
list_filter_valuesLists the wordings one company files its openings under.

A Lever site name distinguishes case, so Flex answers where flex returns nothing. Four spellings are tried per name on each of the two instances, and the answer lists what was sent, so nothing found is never proof that a company is absent from Lever.

resolve_company

Turns company names into Lever site names, reporting every instance that answered. It takes a list.

ArgumentTypeRequiredWhat it does
namesarray of 1 to 25 stringsyesCompany names, or Lever site names you already know.

In return: one entry per name, carrying input; found, a list of { slug, instance, publishes } where publishes is false for a site that exists and lists nothing today; tried, the spellings sent in order; and cached, true when this session had already resolved that name. A name answering on both instances comes back with both, and neither is elected: pass the one you mean to the other tools.

search_jobs

Searches the openings of the companies named. Lever applies the filters it supports on its own exact wording, and this server applies the rest to the openings it read.

ArgumentTypeRequiredWhat it does
companiesarray of 1 to 25 stringsyesCompany names or Lever site names. Each is resolved here.
keywordstringnoWords to look for in the title and the advert.
locationarray of 1 to 20 stringsnoLocations, exactly as Lever writes them.
teamarray of 1 to 20 stringsnoTeams, exactly as Lever writes them.
departmentarray of 1 to 20 stringsnoDepartments, exactly as Lever writes them.
commitmentarray of 1 to 20 stringsnoCommitments, exactly as Lever writes them.
workplace_typearray of 1 to 4 stringsnoremote, hybrid, onsite or unspecified.
countryarray of 1 to 20 two-letter codesnoCountries as ISO codes, as in FR or US.
salary_minnumber, 0 or morenoThe lowest upper bound of a salary range to keep.
salary_intervalstringnoThe period salary_min is written in, such as per-year-salary.
currencythree-letter codenoThe currency salary_min is written in, as in EUR.
posted_within_daysinteger, 1 to 3650noHow recent an opening must be.
limitinteger, 1 to 100, default 25noOpenings to read per company.
skipinteger, 0 to 100000, default 0noOpenings to step over per company.

Lever itself applies location, team, department and commitment; this server applies keyword, workplace_type, country, salary_min, salary_interval, currency and posted_within_days to what it read. list_filter_values publishes the wordings the first four take, and a wording Lever does not know comes back as an empty list.

In return: jobs, each carrying id and company_slug, which get_job takes, plus title, location, all_locations, country, workplace_type, team, posted_at, url and apply_url. commitment and department are absent when the company records neither. salary is null for an opening published without one, which is never the same as zero, and it carries the interval Lever wrote it in, never converted or annualised. per_company gives one outcome per company, with a status of read, unresolved, empty or failed, which are four different answers, and the read and returned counts around the filters. total_available is always null: Lever publishes no result count. The rows carry no advert text, since one company's board can run to megabytes.

limit applies per company, and a company whose openings fill it may publish more: the notes say when that happened, and that a count taken inside that window measures the window. posted_within_days walks up to five pages per company, and Lever pages by title, so an opening published yesterday can sit anywhere in a board.

get_job

Reads one opening in full: the advert, its named sections, and the salary as published.

ArgumentTypeRequiredWhat it does
company_slugstringyesThe Lever site name, as resolve_company returns it.
job_idstringyesThe identifier of one opening, as a search returns it.
instanceglobal or eunoThe instance the row came from. The global one by default.

In return: job, holding the fields a search row carries, plus description, sections as { heading, items }, salary_note for what the company wrote beside the range, and source with the address it was retrieved from.

list_filter_values

Lists the team, location and commitment wordings one company uses. Read it before filtering: Lever matches its own wording, and the vocabulary belongs to each company, one writing Full-time where another writes EE Full-Time.

ArgumentTypeRequiredWhat it does
company_slugstringyesThe Lever site name, as resolve_company returns it.

| instance | global or eu | no

Only the beginning is shown; read the rest in the repo

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